Hi @alex4727 馃
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/2511.01266.
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 in your GitHub README (https://github.com/alex4727/motionstream) that the code and models for MotionStream are currently under internal review for open-sourcing. That's understandable, and we appreciate your efforts to make your work available to the community.
Whenever the MotionStream model checkpoints (e.g., the 1.3B and 5B Teacher/Student variants) become openly available, would you be interested in hosting them on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility and 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, here's a guide: https://huggingface.co/docs/hub/models-uploading. 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 you to upload and for others to download and use models right away. Alternatively, people can also use hf_hub_download to download models directly.
After uploading, we can also link the models to the paper page (read here) so people can discover your work.
You can also build a demo for your model on Spaces, and 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 once your models are ready for release!
Kind regards,
Niels
Hi @alex4727 馃
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/2511.01266.
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 in your GitHub README (https://github.com/alex4727/motionstream) that the code and models for MotionStream are currently under internal review for open-sourcing. That's understandable, and we appreciate your efforts to make your work available to the community.
Whenever the MotionStream model checkpoints (e.g., the 1.3B and 5B Teacher/Student variants) become openly available, would you be interested in hosting them on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility and 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, here's a guide: https://huggingface.co/docs/hub/models-uploading. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto the model, allowing you to upload and for others to download and use models right away. Alternatively, people can also use hf_hub_download to download models directly.After uploading, we can also link the models to the paper page (read here) so people can discover your work.
You can also build a demo for your model on Spaces, and 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 once your models are ready for release!
Kind regards,
Niels