Hi @qmang 🤗
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/2605.14445.
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'd be great to make the remaining checkpoints and the full synthesized dataset available on the 🤗 hub, to improve their discoverability/visibility. I saw you've already uploaded the 9B model checkpoint to the hub (runyuanhe/qwen35-9b-frontiersmith), which is awesome!
Uploading models
Would you be open to hosting the 27B model checkpoint on the Hub as well? See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, you could leverage 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.
Uploading dataset
It would also be fantastic to make the full synthesized dataset (the 200 problems mentioned in the paper) 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!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @qmang 🤗
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/2605.14445.
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'd be great to make the remaining checkpoints and the full synthesized dataset available on the 🤗 hub, to improve their discoverability/visibility. I saw you've already uploaded the 9B model checkpoint to the hub (
runyuanhe/qwen35-9b-frontiersmith), which is awesome!Uploading models
Would you be open to hosting the 27B model checkpoint on the Hub as well? See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, you could leverage the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto any customnn.Module. Alternatively, one can leverage the hf_hub_download one-liner to download a checkpoint from the hub.Uploading dataset
It would also be fantastic to make the full synthesized dataset (the 200 problems mentioned in the paper) available on 🤗, so that people can do:
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!
Cheers,
Niels
ML Engineer @ HF 🤗