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Biomistral 7B SLERP

Developed by BioMistral
BioMistral-7B-slerp is a medical domain language model merged using the SLERP method from BioMistral-7B and Mistral-7B-Instruct-v0.1, specializing in biomedical text processing
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Release Time : 2/3/2024

Model Overview

This is an open-source pre-trained language model for the medical and biological fields, obtained by merging a general instruction model with a medical specialty model, supporting multilingual medical text processing

Model Features

Medical Domain Optimization
Continued pre-training with PubMed medical literature, equipped with professional medical knowledge processing capabilities
Multilingual Support
Supports medical text processing in 7 languages, including major European languages
Model Merging Technique
Uses SLERP spherical linear interpolation to merge general and specialized models, balancing general capabilities with professional performance
Quantization Support
Provides multiple quantized versions to reduce GPU memory requirements and improve inference speed

Model Capabilities

Medical Text Generation
Medical Q&A
Multilingual Medical Text Processing
Biomedical Knowledge Extraction

Use Cases

Medical Research
Medical Literature Summarization
Generates concise summaries from medical research papers
Achieved 77.5% accuracy on the PubMedQA benchmark
Medical Knowledge Q&A
Answers clinical medicine and biology-related questions
Outperformed similar open-source models on average across 10 medical benchmarks
Multilingual Medical Applications
Non-English Medical Text Processing
Processes medical literature in languages such as French and Spanish
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