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Hi @HubertMarek 🤗
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/2602.11224.
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.
It's great to see that you've already hosted the Agent-Diff benchmark datasets and the Ministral LoRA adapter on the Hub! Would you also like to host the RL-trained Qwen3-30B-A3B model checkpoint on https://huggingface.co/models?
I see you're currently linking to the Prime Intellect dashboard for it. Hosting the checkpoint on Hugging Face will give you more visibility and enable better discoverability through metadata tags, allowing researchers to find all your related artifacts in one place linked to your paper page.
If you're down, leaving a guide here. In this case, you can use the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, one can leverage the hf_hub_download one-liner to download a checkpoint from the hub.
Let me know if you're interested or need any guidance!
Cheers,
Niels
ML Engineer @ HF 🤗