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Release RE-TRAC model checkpoints on Hugging Face #8

@NielsRogge

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@NielsRogge

Hi @JialiangZhu 🤗

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/2602.02486.

The paper page lets people discuss about your paper and lets them find artifacts about it. I saw you've already released a great demo for the 30B model on Spaces (https://huggingface.co/spaces/JialiangZhu/RE-TRAC)! You can also claim the paper as yours, which will show up on your public profile at HF, and add your GitHub and project page URLs.

I noticed in your repository that you plan to release the RE-TRAC-4B and RE-TRAC-30B-A3B model checkpoints soon. Would you like to host these pre-trained checkpoints on https://huggingface.co/models?

Hosting on Hugging Face will give your work more visibility and enable better discoverability. We can add metadata tags in the model cards so that people can find the models easier based on tasks and languages, and link them directly to the paper page.

If you're interested, I'm leaving a guide here. If these are custom PyTorch models, you can also use the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub methods, allowing users to download and use your models instantly. Alternatively, simple file uploads via the UI or CLI are also supported.

After they are uploaded, we can link them to the paper page so people can discover the artifacts alongside the research.

Let me know if you're interested or need any guidance!

Kind regards,

Niels

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