Release CM2 models and RL dataset on Hugging Face

[NielsRogge]

Hi @namezhenzhang 🤗

Niels here from 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/2602.12268.

The paper page lets people discuss your paper and find related artifacts. You can also claim the paper as yours, which will show it on your public profile at HF, and add GitHub and project page URLs.

It'd be great to make the CM2 checkpoints (like the 8B model) and the 8k-example RL dataset available on the 🤗 hub to improve their discoverability and visibility. We can add metadata tags so that people find them when filtering models and datasets on our platform.

Uploading models

See here for a guide: https://huggingface.co/docs/hub/models-uploading.

You could leverage the PyTorchModelHubMixin class, which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, researchers often use the hf_hub_download one-liner to download checkpoints from the hub.

Uploading dataset

It would also be awesome to make the 8k-example RL dataset available on 🤗 , so that people can simply do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/your-dataset")

See here for a guide: https://huggingface.co/docs/datasets/loading.

Hugging Face also provides a dataset viewer which allows people to explore the data directly in the browser.

Let me know if you're interested or need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 🤗