Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. MedGemma model card Model documentation: MedGemma Resources: Model on Google Cloud Model Garden: MedGemma Model on Hugging Face: MedGemma GitHub repository (supporting code, Colab notebooks, discussions, and issues): MedGemma Quick start notebook: GitHub Fine tuning notebook: GitHub Patient Education Demo built using MedGemma Support: See Contact License: The use of MedGemma is governed by the Health AI Developer Foundations terms of use. Author: Google Model information This section describes the MedGemma model and how to use it. Description MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension. Developers can use MedGemma to accelerate building healthcare based AI applications. MedGemma currently comes in two variants: a 4B multimodal version and a 27B text only version. MedGemma 27B has been trained exclusively on medical text and optimized for inference time computation. MedGemma 27B is only available as an instruction tuned model. MedGemma variants have been evaluated on a range of clinically relevant benchmarks to illustrate their…
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