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gemma-4-E2B-it-qat-mobile

mlx-community/gemma-4-E2B-it-qat-mobile
8-bit Open on Hugging Face
Parameters
2.3B
Weights (est.)
≈ 2.5 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-mobile --image photo.jpg --prompt "Describe this image"

Details

Base model
—
Vendor
—
Task
Vision + text
Quantisation
8-bit
Licence
—
Downloads
17K in the last 30 days · 63K all time · 3 likes
Published
2026-07-29 · updated 2026-07-29 (3mo ago)
Languages
en
Tags
gemma4, gemma