Release Context Forcing checkpoints on Hugging Face

Hi @ShuoChen20 🤗

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/2602.06028.
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 noticed in your GitHub repository's Todo List that you plan to "Opensourse inference code and checkpoints. Refactoring the codebase; will be open-sourced shortly." That's fantastic news!

Would you like to host the model checkpoints for Context Forcing on https://huggingface.co/models once they are ready?
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. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin
class which adds from_pretrained and push_to_hub to the model which lets you to upload the model and people to download and use models right away.
If you do not want this and directly want to upload model through UI or however you want, people can also use hf_hub_download.

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 when you're ready to release them :)

Kind regards,

Niels

No repository file, test, or entry point is named. Start by reviewing the Todo List statement about releasing inference code and checkpoints, then read the linked Hugging Face model-uploading and PyTorchModelHubMixin guides; done means the maintainers decide whether and how to host the checkpoints.