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---
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 is the simple RL training from the base model with initial warmup stage.
## Quick Start
Please generate content using the following template:
```
"o1_cot": (
'[Round 0] USER:\\n{input}\\nPlease reason step by step, and put your final answer within \\\\boxed{{}}. ASSISTANT:\\n',
"{output}",
"\\n\\n"
)
```
Alternatively, you can use our [evaluation code](https://github.com/hkust-nlp/simpleRL-reason/tree/main/eval) and specify the Prompt type as "o1_cot"
## 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}
}
``` |