# Medical Reasoning

II-Medical-8B is a next-generation medical large language model developed by Intelligent Internet, specifically designed to enhance AI medical reasoning capabilities, achieving significant breakthroughs in medical Q&A performance.

A medical reasoning model fine-tuned based on Qwen/Qwen2.5-7B-Instruct, excelling in multiple medical QA benchmarks

DeepSeek-R1-Medical-COT is a Chain-of-Thought reasoning model specialized in the medical field, offering multiple quantized versions to accommodate different hardware requirements.

A medical chain-of-thought reasoning model fine-tuned from DeepSeek-R1-Distill-Llama-8B, enhanced with QLoRA quantization and Unsloth optimization for medical reasoning.

A medical reasoning model fine-tuned based on the DeepSeek-R1-Distill-Llama-8B model, optimized for chain-of-thought reasoning and clinical decision-making capabilities

FineMedLM-o1 is a specialized large language model designed for advanced medical reasoning, featuring a multi-step reasoning mechanism that refines and perfects its thought process before delivering a final response.

Qwen2.5-Aloe-Beta-7B is an open-source large medical language model that achieves state-of-the-art performance in multiple medical tasks. It is fine-tuned based on the Qwen2.5-7B architecture, and the training data covers 1.8 billion tokens of diverse medical tasks.

A fine-tuned version based on epfl-llm/meditron-7b using the Alpaca dataset for SFT training, specializing in medical Q&A tasks