I

II Medical 7B Preview

Developed by Intelligent-Internet
A medical reasoning model fine-tuned based on Qwen/Qwen2.5-7B-Instruct, excelling in multiple medical QA benchmarks
Downloads 112
Release Time : 4/28/2025

Model Overview

A reasoning model focused on the medical field, enhancing AI capabilities in medical Q&A and reasoning through comprehensive medical dataset training and DAPO algorithm optimization

Model Features

Medical Domain Optimization
Specially trained on 555,000 medical-related samples, covering various medical Q&A scenarios
Reinforcement Learning Optimization
Further optimized model performance on complex reasoning datasets using the DAPO algorithm
Long Context Support
Supports up to 16,378 tokens of context length, suitable for handling complex medical cases
Outstanding Multi-Benchmark Performance
Achieved an average score of 66.4 across ten medical QA benchmarks including MedMCQA and MedQA

Model Capabilities

Medical Q&A
Medical Reasoning
Biomedical Text Understanding
Step-by-Step Reasoning Explanation

Use Cases

Medical Education
Medical Exam Preparation
Assists medical students in preparing for various medical qualification exams
Achieved 69.42% accuracy on MedMCQA tests
Clinical Decision Support
Diagnostic Reasoning Assistance
Provides diagnostic approaches and possible differential diagnoses
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