Improve model card: Add pipeline tag, library name, paper link, and description (#1)

- Improve model card: Add pipeline tag, library name, paper link, and description (4bd9cec41690e7c0427a50755da487fe87c12bdf)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,8 +1,24 @@
 ---
 license: mit
+pipeline_tag: text-generation
+library_name: transformers
 ---
+
 ### GT-GRPO: Qwen3-8B-Base trained on OpenRS
 
-This is the Qwen3-8B-Base model trained by GT-GRPO using OpenRS training set.
+This model, **GT-GRPO: Qwen3-8B-Base trained on OpenRS**, is developed as part of the research presented in the paper [Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models](https://huggingface.co/papers/2508.00410).
+
+It represents a Qwen3-8B-Base model fine-tuned using the GT-GRPO method on the OpenRS training set. This model aims to enhance the reasoning capabilities of Large Language Models, particularly on mathematical reasoning benchmarks, by leveraging a novel self-supervised reinforcement learning framework called **Co-rewarding**.
+
+For more details on the **Co-rewarding** framework, its various instantiations, and full experimental results, please refer to the official GitHub repository: [https://github.com/tmlr-group/Co-rewarding].
 
-If you are interested in Co-rewarding, you can find more details on our Github Repo [https://github.com/tmlr-group/Co-rewarding].
+## Citation
+If you use our models, please cite our paper!
+```bibtex
+@article{zhang2025co,
+  title={Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models},
+  author={Zhang, Zizhuo and Zhu, Jianing and Ge, Xinmu and Zhao, Zihua and Zhou, Zhanke and Li, Xuan and Feng, Xiao and Yao, Jiangchao and Han, Bo},
+  journal={arXiv preprint arXiv:2508.00410},
+  year={2025}
+}
+```