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Base 7b V0.2

Developed by internistai
A large-scale medical domain language model trained by physicians, the first 7b model to surpass the 60% passing score on the MedQA (USMLE) exam
Downloads 91
Release Time : 4/21/2024

Model Overview

A language model specifically designed for the medical field, combining high-quality medical literature with general data while maintaining cross-domain capabilities, primarily used for clinical decision support and documentation assistance

Model Features

Physician-Involved Training
Training data meticulously curated by physicians to ensure clinical relevance and quality
Medical Domain Optimization
Achieved over 60% passing score on MedQA (USMLE) exam, outperforming similar 7b models
Cross-Domain Capabilities
Combines general data with medical specialty data to maintain multi-domain application capabilities
Long Context Support
Supports context lengths of up to 4096 tokens, suitable for processing complex medical documents

Model Capabilities

Medical Text Generation
Clinical Decision Support
Medical Q&A
Medical Documentation Assistance

Use Cases

Clinical Support
Disease Feature Description
Generate anatomical features and clinical manifestations descriptions for specific diseases
Achieved description quality comparable to GPT-4 in physician evaluations
Diagnostic Assistance
Provide possible diagnostic suggestions based on symptoms
Achieved 60.5% accuracy in MedQA testing
Medical Education
USMLE Exam Preparation
Assist medical students in preparing for USMLE exam-related questions
Exceeded passing score in MedQA testing
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