MLX Community · First MLX build 5 Jun 2026

gemma-4-E2B-it-qat

MLX TextVision

A 5.1B parameter vision and text model, with 8 MLX builds, from 4-bit to MXFP4.

Hugging Face
Parameters
5.1B
From Hugging Face
Quantisation
4-bit
gemma-4-E2B-it-qat-4bit
Memory needed
6 GB
Estimate, unified memory
Download
3.6 GB
Weights, estimated
Downloads
1.8K
This build, last 30 days
Task
Vision and text
Text, Vision
MLX builds
8
On mlx-community
Devices
Mac
Apple silicon

Memory

Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.

Run it

Terminal · mlx-vlm
$ pip install -U mlx-vlm
$ python -m mlx_vlm.generate --model mlx-community/gemma-4-E2B-it-qat-4bit --image photo.jpg --prompt "Describe this image"

MLX builds

8 on mlx-community
Click a column to sort. Smallest size and most downloads are highlighted.
gemma-4-E2B-it-qat-4bit 4-bit 3.6 GB 6 GB 1.8K
gemma-4-E2B-it-qat-5bit 5-bit 4.1 GB 7 GB 66
gemma-4-E2B-it-qat-6bit 6-bit 4.7 GB 8 GB 39
gemma-4-E2B-it-qat-8bit 8-bit 5.9 GB 9 GB 169
gemma-4-E2B-it-qat-mxfp8 MXFP8 5.9 GB 9 GB 40
gemma-4-E2B-it-qat-bf16 bf16 10.2 GB 14 GB 36
gemma-4-E2B-it-qat-mxfp4 MXFP4 — — 0
gemma-4-E2B-it-qat-nvfp4 Unstated — — 0

Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.