README.md

metadata

license: other
license_name: health-ai-developer-foundations
license_link: https://developers.google.com/health-ai-developer-foundations/terms
library_name: transformers
pipeline_tag: image-text-to-text
language: en
extra_gated_heading: Access MedGemma on Hugging Face
extra_gated_prompt: >-
  To access MedGemma on Hugging Face, you're required to review and agree to
  [Health AI Developer Foundation's terms of
  use](https://developers.google.com/health-ai-developer-foundations/terms). To
  do this, please ensure you're logged in to Hugging Face and click below.
  Requests are processed immediately.
extra_gated_button_content: Acknowledge license
tags:
  - medical
  - x-ray
  - pathology
  - dermatology
  - fundus
  - radiology report generation
  - chest-x-ray
  - medical-embeddings
  - image-classification
  - zero-shot-image-classification
  - image-feature-extraction
  - image-text-to-text
  - mlx
base_model: google/gemma-3-27b-pt

mlx-community/medgemma-27b-it-bf16

This model was converted to MLX format from google/medgemma-27b-it using mlx-vlm version 0.3.0. Refer to the original model card for more details on the model.

Use with mlx

pip install -U mlx-vlm

python -m mlx_vlm.generate --model mlx-community/medgemma-27b-it-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>