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gemma-4-E2B-it-qat-4bit

mlx-community/gemma-4-E2B-it-qat-4bit
4-bit Open on Hugging Face
Parameters
5.1B
Weights (est.)
≈ 3.6 GB
Mac memory (est.)
8 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-E2B-it-qat-4bit --image photo.jpg --prompt "Describe this image"

Details

Base model
—
Vendor
—
Task
Vision + text
Quantisation
4-bit
Licence
—
Downloads
1.8K in the last 30 days · 12K all time · 4 likes
Published
2026-06-05 · updated 2026-06-05 (5mo ago)
Languages
en
Tags
gemma4