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MedGUIDE/ClinicalRewardModel-Qwen2_5-7B
ClinicalRewardModel-Qwen2_5-7B is a machine learning model from MedGUIDE. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is a 5-head reward model fine-tuned on clinical decision-making data using the Qwen2.5-7B-Instruct backbone. It is trained to evaluate clinical vignette–based multiple-choice questions across five expert-defined…
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From the Hugging Face model README
This is a 5-head reward model fine-tuned on clinical decision-making data using the Qwen2.5-7B-Instruct backbone. It is trained to evaluate clinical vignette–based multiple-choice questions across five expert-defined clinical criteria:
Each head independently scores one dimension on a 1–5 Likert scale. This model supports fine-grained quality filtering for guideline-based QA datasets such as MedGUIDE-MCQA-8K.