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@@ -4,4 +4,27 @@ language:
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  - en
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  base_model:
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  - Qwen/Qwen2.5-Math-7B
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - en
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  base_model:
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  - Qwen/Qwen2.5-Math-7B
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+ ---
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+
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+ # Simple Reinforcement Learning for Reasoning
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+
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+ [![Notion](https://img.shields.io/badge/Notion-%23000000.svg?style=for-the-badge&logo=notion&logoColor=white)](https://hkust-nlp.notion.site/simplerl-reason)
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+ 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.
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+
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+ ## Citation
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+
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+ If you find this blog or our code useful, we would appreciate it if you could cite our work:
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+ ```bibtex
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+
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+ @misc
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+ {zeng2025simplerl,
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+ title={7B Model and 8K Examples: Emerging Reasoning with Reinforcement Learning is Both Effective and Efficient},
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+ author={Weihao Zeng and Yuzhen Huang and Wei Liu and Keqing He and Qian Liu and Zejun Ma and Junxian He},
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+ year={2025},
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+ howpublished={\url{https://hkust-nlp.notion.site/simplerl-reason}},
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+ note={Notion Blog}
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+ }
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+ ```