MLX Community · First MLX build 2 Mar 2026

Qwen3.5-2B

MLX TextVision apache-2.0

A 2.2B parameter vision and text model, with 16 MLX builds, from 3-bit to bf16.

Hugging Face
Parameters
2.2B
From Hugging Face
Quantisation
6-bit
Qwen3.5-2B-6bit
Memory needed
5 GB
Estimate, unified memory
Download
2.2 GB
Weights, estimated
Downloads
12K
This build, last 30 days
Task
Vision and text
Text, Vision
MLX builds
16
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/Qwen3.5-2B-6bit --image photo.jpg --prompt "Describe this image"

MLX builds

16 on mlx-community
Click a column to sort. Smallest size and most downloads are highlighted.
Qwen3.5-2B-3bit 3-bit 859 MB 3 GB 35
Qwen3.5-2B-mxfp4 MXFP4 862 MB 3 GB 25
Qwen3.5-2B-mixed_3_4 4-bit 892 MB 3 GB 36
Qwen3.5-2B-mixed_2_6 4-bit 894 MB 3 GB 21
Qwen3.5-2B-mixed_3_5 4-bit 904 MB 4 GB 20
Qwen3.5-2B-mixed_3_6 4-bit 916 MB 4 GB 14
Qwen3.5-2B-nvfp4 4-bit 928 MB 4 GB 1.5K
Qwen3.5-2B-mixed_4_6 4-bit 937 MB 4 GB 25
Qwen3.5-2B-mixed_3_8 4-bit 939 MB 4 GB 30
Qwen3.5-2B-mixed_4_8 4-bit 960 MB 4 GB 27
Qwen3.5-2B-mxfp8 MXFP8 1.2 GB 4 GB 747
Qwen3.5-2B-4bit 4-bit 1.7 GB 4 GB 8.6K
Qwen3.5-2B-5bit 5-bit 2.0 GB 5 GB 99
Qwen3.5-2B-6bit 6-bit 2.2 GB 5 GB 12K
Qwen3.5-2B-8bit 8-bit 2.7 GB 5 GB 509
Qwen3.5-2B-bf16 bf16 4.4 GB 7 GB 1.1K

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