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  We release our process reward model effectively trained with active learning based on `Qwen/Qwen2.5-Math-7B-Instruct`. The model achieved 75.0% on [ProcessBench](https://github.com/QwenLM/ProcessBench) and 65.5% on [PRMBench](https://github.com/ssmisya/PRMBench).
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  <p align="center">
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- <img src="https://raw.githubusercontent.com/sail-sg/ActivePRM/refs/heads/master/assets/processbench.png" width=70%/>
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- <img src="https://raw.githubusercontent.com/sail-sg/ActivePRM/refs/heads/master/assets/prmbench.png" width=70%/>
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  </p>
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  ### Usage
 
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  We release our process reward model effectively trained with active learning based on `Qwen/Qwen2.5-Math-7B-Instruct`. The model achieved 75.0% on [ProcessBench](https://github.com/QwenLM/ProcessBench) and 65.5% on [PRMBench](https://github.com/ssmisya/PRMBench).
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  <p align="center">
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+ <img src="https://raw.githubusercontent.com/sail-sg/ActivePRM/refs/heads/master/assets/processbench.png" width=90%/>
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+ <img src="https://raw.githubusercontent.com/sail-sg/ActivePRM/refs/heads/master/assets/prmbench.png" width=90%/>
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  </p>
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  ### Usage