---
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-8bit
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](https://huggingface.co/google/medgemma-27b-it) for more details on the model.
## Use with mlx

```bash
pip install -U mlx-vlm
```

```bash
python -m mlx_vlm.generate --model mlx-community/medgemma-27b-it-8bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```