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# Simple Reinforcement Learning for Reasoning

[![Notion](https://img.shields.io/badge/Notion-%23000000.svg?style=for-the-badge&logo=notion&logoColor=white)](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}
}
```

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+ license: apache-2.0
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+ ---