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sambarta
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dr-gemma-base

Image-Text-to-Text
Transformers
Safetensors
MLX
gemma3
medical
radiology
clinical-reasoning
dermatology
pathology
ophthalmology
chest-x-ray
conversational
text-generation-inference
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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
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
base_model: google/medgemma-4b-pt
tags:
  - medical
  - radiology
  - clinical-reasoning
  - dermatology
  - pathology
  - ophthalmology
  - chest-x-ray
  - mlx

sambarta/dr-gemma-base

This model was converted to MLX format from google/medgemma-4b-it using mlx-vlm version 0.1.26. 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 sambarta/dr-gemma-base --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>