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Medgemma 4b It Unsloth Bnb 4bit

Developed by unsloth
MedGemma is a medical multimodal model built on Gemma 3, with two versions of 4B and 27B, focusing on medical text and image understanding tasks.
Downloads 6,388
Release Time : 5/20/2025

Model Overview

MedGemma is a high-performance medical AI model that can be used to accelerate the development of medical applications and supports medical data analysis in text and image modalities.

Model Features

Multimodal support
The 4B version supports text and visual modalities and can process medical image and text data
High performance
Performs excellently in various medical-related benchmark tests, surpassing the basic Gemma 3 model
Fine-tunable
Developers can fine-tune the model to meet the needs of specific medical scenarios
Long context support
Supports a context length of up to 128K tokens, suitable for processing complex medical documents

Model Capabilities

Medical image analysis
Medical text understanding
Radiology report generation
Medical Q&A
Disease classification
Medical visual Q&A

Use Cases

Radiology
Chest X-ray analysis
Analyze chest X-ray images and generate diagnostic reports
Achieved an average F1 value of 88.9 on the MIMIC CXR dataset
Dermatology
Skin disease classification
Perform classification diagnosis based on skin lesion images
Achieved an accuracy of 71.8% on the DermMCQA dataset
Medical Q&A
Medical knowledge Q&A
Answer various medical-related questions
Achieved an accuracy of 89.8% on the MedQA dataset (27B version)
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