# Medical Knowledge Base

Med42-v2 is an open-access clinical large language model suite developed by M42, built on LLaMA-3, containing 8 billion or 70 billion parameters, capable of high-quality medical question answering.

Aloe is a new generation of medical large language model family, which achieves high competitiveness compared to all previous open-source models within its scale range and reaches state-of-the-art results through model fusion and advanced prompting strategies.

Meditron 7B is a large language model in the medical field developed by the EPFL LLM Team. It is further pre-trained based on Llama-2-7B and focuses on medical knowledge encoding and clinical decision support.

PMC_LLaMA_13B is a large language model for the medical domain based on the LLaMA-13B architecture. It undergoes continuous pre-training and instruction fine-tuning with medical corpora, equipping it with professional medical knowledge Q&A capabilities.

A large language model LoRa fine-tuned specifically for medical domain tasks, based on the 65B-parameter LLaMA Guanaco LORA, enhancing performance in Q&A and medical dialogue tasks

MedAlpaca 13b is a large language model specifically fine-tuned for medical domain tasks, based on the LLaMA architecture with 13 billion parameters, designed to enhance performance in medical Q&A and dialogue tasks.

A 7-billion-parameter language model optimized for the medical field, fine-tuned based on the LLaMA architecture, excelling in medical Q&A and dialogue tasks