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Medra27b GGUF
The Medra27B Quantized Model is the result of static quantization based on the nicoboss/Medra27B base model. It is suitable for tasks such as text generation, summary generation, and diagnostic reasoning in the medical field.
Downloads 235
Release Time : 5/30/2025
Model Overview
This model is a quantized large language model specifically designed for the medical field. It supports English and Romanian and is suitable for various tasks such as text generation, medical artificial intelligence, summary generation, and diagnostic reasoning.
Model Features
Optimized for the medical field
Fine - tuned specifically for medical field data, it performs excellently on medical - related tasks.
Multilingual support
Supports text processing in both English and Romanian.
Multiple quantization options
Provides 11 different levels of quantization versions from Q2_K to Q8_0 to meet the usage requirements under different hardware conditions.
Efficient reasoning
The quantized model significantly reduces the computational resource requirements while maintaining high accuracy.
Model Capabilities
Medical text generation
Medical summary generation
Diagnostic reasoning
Multilingual processing
Medical Q&A
Use Cases
Medical artificial intelligence
Medical report generation
Automatically generate structured medical reports based on patient symptoms and examination results
Medical literature summarization
Extract key information from long medical literature to generate concise summaries
Clinical decision support
Diagnostic assistance
Provide possible diagnostic suggestions based on patient symptoms
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