Hi @lzzzx666 🤗
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/2601.09093.
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.
Would you like to host the step-level scorer models you've pre-trained on https://huggingface.co/models?
I saw that you've released the PyTorch weights (.pt files) for Qwen, DeepSeek, and Phi-based reasoning models in your GitHub repository. Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards (like text-classification) so that people find the models easier, link them to the paper page, etc.
If you're down, leaving a guide here. Since these are custom weights, you can simply upload the .pt files, and people can then use hf_hub_download to pull them directly into your framework.
After uploaded, we can also link the models to the paper page (read here) so people can discover your work.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @lzzzx666 🤗
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/2601.09093.
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.
Would you like to host the step-level scorer models you've pre-trained on https://huggingface.co/models?
I saw that you've released the PyTorch weights (
.ptfiles) for Qwen, DeepSeek, and Phi-based reasoning models in your GitHub repository. Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards (liketext-classification) so that people find the models easier, link them to the paper page, etc.If you're down, leaving a guide here. Since these are custom weights, you can simply upload the
.ptfiles, and people can then use hf_hub_download to pull them directly into your framework.After uploaded, we can also link the models to the paper page (read here) so people can discover your work.
Let me know if you're interested or need any guidance!
Kind regards,
Niels