Release fine-tuned QES models on Hugging Face #1
Description
Hi @dibbla 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2602.03120.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add GitHub and project page URLs.
Would you like to host the fine-tuned model checkpoints you've developed (such as the 1.5B and 3B INT4/INT8 models mentioned in the paper) on https://huggingface.co/models? Hosting on Hugging Face will give your work more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, and link them directly to the paper page.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to the model, allowing people to download and use your models right away. Alternatively, you can upload via the UI or CLI, and people can use hf_hub_download.
You can also build a demo for your model on Spaces; we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested or need any guidance!
Kind regards,
Niels