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medgemma-27b-text-it-6bit

mlx-community/medgemma-27b-text-it-6bit
6-bit Open on Hugging Face
Parameters
28B
Weights (est.)
≈ 23.1 GB
Mac memory (est.)
32 GB+

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-lm on an Apple silicon Mac:

pip install mlx-lmmlx_lm.generate --model mlx-community/medgemma-27b-text-it-6bit --prompt "Hello"

Details

Base model
google/medgemma-27b-text-it (quantized)
Vendor
Google · Gemma
Task
Text generation
Quantisation
6-bit
Licence
health-ai-developer-foundations
Downloads
63 in the last 30 days · 750 all time · 0 likes
Published
2025-05-26 · updated 2025-06-09 (1y ago)
Tags
gemma3_text, medical, clinical-reasoning, thinking

Other MLX builds of google/medgemma-27b-text-it

Build Quantisation Weights Mac memory Downloads
medgemma-27b-text-it-4bit 4-bit ≈ 16.0 GB 24 GB+ 246
medgemma-27b-text-it-6bit (this one) 6-bit ≈ 23.1 GB 32 GB+ 63
medgemma-27b-text-it-8bit 8-bit ≈ 30.2 GB 48 GB+ 154
medgemma-27b-text-it-bf16 bf16 ≈ 56.8 GB 96 GB+ 173