IBM · First MLX build 31 Mar 2026

granite-vision-3.2-2b

MLX TextVision apache-2.0

A 3.1B parameter vision and text model from IBM, with 8 MLX builds, from 4-bit to bf16.

Hugging Face
Parameters
3.1B
From Hugging Face
Quantisation
4-bit
granite-vision-3.2-2b-4bit
Memory needed
5 GB
Estimate, unified memory
Download
2.3 GB
Weights, estimated
Downloads
78
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/granite-vision-3.2-2b-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.
granite-vision-3.2-2b-4bit 4-bit 2.3 GB 5 GB 78
granite-vision-3.2-2b-nvfp4 4-bit 2.3 GB 5 GB 69
granite-vision-3.2-2b-mxfp4 MXFP4 2.3 GB 5 GB 47
granite-vision-3.2-2b-5bit 5-bit 2.7 GB 5 GB 35
granite-vision-3.2-2b-6bit 6-bit 3.0 GB 6 GB 38
granite-vision-3.2-2b-8bit 8-bit 3.7 GB 7 GB 43
granite-vision-3.2-2b-mxfp8 MXFP8 3.7 GB 7 GB 35
granite-vision-3.2-2b-bf16 bf16 6.2 GB 9 GB 45

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