Release artifacts (IRG model, IRGL-300K dataset) on Hugging Face

[NielsRogge]

Hi @Osilly 🤗

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/2509.06945.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models, datasets or demo 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 on your GitHub repository (https://github.com/Osilly/Interleaving-Reasoning-Generation) that you plan to release the code, model weights for IRG, and the IRGL-300K dataset. It'd be great to make these checkpoints and the dataset available on the 🤗 hub, to improve their discoverability/visibility once they are ready for release.
We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.

Uploading models

For your IRG model (pipeline tag: text-to-image), see here for a guide: https://huggingface.co/docs/hub/models-uploading.

In this case, we could leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, one can leverages the hf_hub_download one-liner to download a checkpoint from the hub.

We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.

Uploading dataset

For your IRGL-300K dataset (task category: text-to-image), it would be awesome to make it available on 🤗 , so that people can 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.

Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.

Let me know if you're interested/need any help regarding this! We'd be happy to assist you in getting your work on the Hub.

Cheers,

Niels
ML Engineer @ HF 🤗