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ThinkPRM-14B is a generative Process Reward Model (PRM) based on the R1-Distill-Qwen-14B architecture. It is fine-tuned to perform step-by-step verification of reasoning processes (like mathematical solutions) by generating an explicit verification chain-of-thought (CoT) that involves labeling every step. It is designed to be highly data-efficient, requiring significantly less supervision data than traditional discriminative PRMs while achieving strong performance.
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## Model Details
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### Model Description
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ThinkPRM-14B is a generative Process Reward Model (PRM) based on the R1-Distill-Qwen-14B architecture. It is fine-tuned to perform step-by-step verification of reasoning processes (like mathematical solutions) by generating an explicit verification chain-of-thought (CoT) that involves labeling every step. It is designed to be highly data-efficient, requiring significantly less supervision data than traditional discriminative PRMs while achieving strong performance.
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Here's an example of the model output:
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## Model Details
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### Model Description
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