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Meditron 7B AWQ

Developed by TheBloke
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.
Downloads 38.22k
Release Time : 11/30/2023

Model Overview

This is a large language model with 7B parameters optimized for the medical field. After AWQ quantization, it can be used for efficient inference. The model has potential application value in medical exam Q&A, diagnostic support, etc.

Model Features

Efficient Quantization
Adopts AWQ 4-bit quantization technology to significantly improve inference speed while maintaining model quality
Optimized for the Medical Field
Further pre-trained on medical data to enhance the ability of medical knowledge encoding
Wide Compatibility
Supports multiple inference frameworks including vLLM, Hugging Face TGI, Transformers, etc.

Model Capabilities

Medical Q&A Generation
Medical Information Query
Diagnostic Support
Health Consultation
Medical Exam Question Answering

Use Cases

Medical Health
Medical Exam Q&A
Answer questions related to medical exams
Achieved 27.3% accuracy in the health category of the TruthfulQA evaluation
Diagnostic Support
Provide differential diagnosis suggestions
Health Information Query
Query information on disease symptoms, causes, and treatments
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