4-bit Open on Hugging Face
Parameters
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Weights (est.)
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Mac memory (est.)
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Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-vlm on an Apple silicon Mac:
pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/medgemma-27b-it-4bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- google/gemma-3-27b-pt (quantized)
- Vendor
- Google · Gemma
- Task
- Vision + text
- Quantisation
- 4-bit
- Licence
- health-ai-developer-foundations
- Downloads
- 155 in the last 30 days · 2.7K all time · 3 likes
- Published
- 2025-07-10 · updated 2025-07-10 (1y ago)
- Languages
- en
- Tags
- gemma3, medical, x-ray, pathology, dermatology, fundus, radiology report generation, chest-x-ray, medical-embeddings, image-classification, zero-shot-image-classification, image-feature-extraction
Other MLX builds of google/gemma-3-27b-pt
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| gemma-3-27b-it-4bit | 4-bit | — | — | 1.1K |
| medgemma-27b-it-8bit | 8-bit | — | — | 301 |
| medgemma-27b-it-4bit (this one) | 4-bit | — | — | 155 |
| gemma-3-27b-it-8bit | 8-bit | — | — | 110 |
| medgemma-27b-it-bf16 | bf16 | — | — | 76 |
| gemma-3-27b-it-bf16 | bf16 | — | — | 66 |
| medgemma-27b-it-6bit | 6-bit | — | — | 57 |
| gemma-3-27b-it-6bit | 6-bit | — | — | 45 |