| 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> | |
| ``` | |