| --- |
| license: apache-2.0 |
| language: |
| - en |
| base_model: |
| - Qwen/Qwen2.5-Math-7B |
| --- |
| |
| # Simple Reinforcement Learning for Reasoning |
|
|
| [](https://hkust-nlp.notion.site/simplerl-reason) |
|
|
| This is the model checkpoint in Project SimpleRL. Qwen-2.5-Math-7B-SimpleRL-Zero is the simple RL training from the base model directly, using only 8K MATH examples. |
|
|
| ## Citation |
|
|
| If you find this blog or our code useful, we would appreciate it if you could cite our work: |
|
|
| ```bibtex |
| @misc{ |
| zeng2025simplerl, |
| title={7B Model and 8K Examples: Emerging Reasoning with Reinforcement Learning is Both Effective and Efficient}, |
| author={Weihao Zeng and Yuzhen Huang and Wei Liu and Keqing He and Qian Liu and Zejun Ma and Junxian He}, |
| year={2025}, |
| howpublished={\url{https://hkust-nlp.notion.site/simplerl-reason}}, |
| note={Notion Blog} |
| } |
| ``` |
