Release TRIT-enhanced models on Hugging Face

[NielsRogge]

Hello,

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/2602.05940.
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, add Github and project page URLs.

I saw that you've already shared the TRIT-DATA on the Hub, which is great! Would you also like to host the model checkpoints you've trained (such as the TRIT-enhanced DeepSeek and Qwen models) on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility/enable better discoverability. We can add tags in the model cards so that people find the models easier, link it to the paper page, etc.

If you're down, leaving a guide here. Since you are already using LlamaFactory, you can likely use the internal push_to_hub functionality. Alternatively, for custom PyTorch models, you can use the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to the model.

After uploaded, we can also link the models to the paper page (read here) so people can discover your model.

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/need any guidance :)

Kind regards,

Niels

[ljxzs-jjlzs]

Hi Niels,

Thank you for reaching out and for featuring our work on Hugging Face Daily Papers.

We are currently planning to open-source our models as well. Once everything is ready, we will upload the model checkpoints to Hugging Face so the community can access them more easily.

Thanks again for your support and guidance!

Best regards,
Junxiao