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MedGemma 4B IT

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medgemma-4b-itVariant

Overview

MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension. MedGemma 4B utilizes a SigLIP image encoder that has been specifically pre-trained on a variety of de-identified medical data, including chest X-rays, dermatology images, ophthalmology images, and histopathology slides. Its LLM component is trained on a diverse set of medical data, including radiology images, histopathology patches, ophthalmology images, and dermatology images. MedGemma is a multimodal model primarily evaluated on single-image tasks. It has not been evaluated for multi-turn applications and may be more sensitive to specific prompts than its predecessor, Gemma 3. Developers should consider bias in validation data and data contamination concerns when using MedGemma.

MedGemma 4B IT was released on May 20, 2025.

Performance

Timeline

Release DateUnknown
Knowledge CutoffUnknown

Other Details

Parameters
4.3B
License
Health AI Developer Foundations terms of use
Training Data
Unknown
Tags
tuning:instruct

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Benchmarks

MedGemma 4B IT Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Sat Dec 06 2025
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Pricing

Pricing, performance, and capabilities for MedGemma 4B IT across different providers:

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Example Outputs

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API Access

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FAQ

Common questions about MedGemma 4B IT

MedGemma 4B IT was released on May 20, 2025.
MedGemma 4B IT has 4.3 billion parameters.