Hi @YihongLiu 🤗
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/2605.09548.
The paper page lets people discuss about your paper and lets them find artifacts about it, and you can also claim the paper as yours which will show up on your public profile at HF.
I noticed that you've already released the training datasets (COPSD-AfriMGSM-TrainDataset and COPSD-PolyMath-TrainDataset) on the Hub, which is great!
Would you also like to host the pre-trained model checkpoints you've developed (the COPSD-tuned Qwen3 1.7B, 4B, and 8B versions) on https://huggingface.co/models? Hosting on Hugging Face will give your work more visibility and enable better discoverability. We can add metadata tags (such as language tags for the 17 African languages) in the model cards so that people find the models easier, link them to the paper page, etc.
If you're down, leaving a guide here. Since these are based on Qwen3, people will be able to load your fine-tuned models directly using the transformers library:
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("yihongLiu/your-model-name")After uploaded, we can also link the models to the paper page so people can discover your work more easily.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels
Hi @YihongLiu 🤗
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/2605.09548.
The paper page lets people discuss about your paper and lets them find artifacts about it, and you can also claim the paper as yours which will show up on your public profile at HF.
I noticed that you've already released the training datasets (
COPSD-AfriMGSM-TrainDatasetandCOPSD-PolyMath-TrainDataset) on the Hub, which is great!Would you also like to host the pre-trained model checkpoints you've developed (the COPSD-tuned Qwen3 1.7B, 4B, and 8B versions) on https://huggingface.co/models? Hosting on Hugging Face will give your work more visibility and enable better discoverability. We can add metadata tags (such as language tags for the 17 African languages) in the model cards so that people find the models easier, link them to the paper page, etc.
If you're down, leaving a guide here. Since these are based on Qwen3, people will be able to load your fine-tuned models directly using the
transformerslibrary:After uploaded, we can also link the models to the paper page so people can discover your work more easily.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels