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gemma-4-31b-it-6bit

mlx-community/gemma-4-31b-it-6bit
6-bit Open on Hugging Face
Parameters
31B
Weights (est.)
≈ 26.1 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-vlm on an Apple silicon Mac:

pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/gemma-4-31b-it-6bit --image photo.jpg --prompt "Describe this image"

Details

Base model
google/gemma-4-31B-it (quantized)
Vendor
Google · Gemma
Task
Vision + text
Quantisation
6-bit
Licence
apache-2.0
Downloads
683 in the last 30 days · 12K all time · 9 likes
Published
2026-04-02 · updated 2026-07-05 (4mo ago)
Tags
gemma4

Other MLX builds of google/gemma-4-31B-it

Build Quantisation Weights Mac memory Downloads
gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking-4.6bit-msq 6-bit ≈ 6.5 GB 16 GB+ 101
gemma-4-31b-it-4bit 4-bit ≈ 18.4 GB 24 GB+ 8.2K
gemma-4-31b-it-mxfp4 MXFP4 ≈ 18.4 GB 24 GB+ 283
gemma-4-31b-it-nvfp4 4-bit ≈ 18.4 GB 24 GB+ 191
gemma-4-31B-it-OptiQ-4bit 4-bit ≈ 18.4 GB 24 GB+ 757
gemma-4-31b-it-5bit 5-bit ≈ 22.2 GB 32 GB+ 169
gemma-4-31b-it-6bit (this one) 6-bit ≈ 26.1 GB 32 GB+ 683
gemma-4-31b-it-8bit 8-bit ≈ 33.8 GB 48 GB+ 3.4K
gemma-4-31b-it-mxfp8 MXFP8 ≈ 33.8 GB 48 GB+ 178
gemma-4-31b-it-bf16 bf16 ≈ 62.5 GB 96 GB+ 1.5K