MLX Community · First MLX build 2 Mar 2026

Qwen3.5-9B

MLX TextVision apache-2.0

A 9.4B parameter vision and text model, with 16 MLX builds, from 4-bit to MXFP8.

Hugging Face
Parameters
9.4B
From Hugging Face
Quantisation
4-bit
Qwen3.5-9B-4bit
Memory needed
9 GB
Estimate, unified memory
Download
6.0 GB
Weights, estimated
Downloads
25K
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/Qwen3.5-9B-4bit --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.
Qwen3.5-9B-4bit 4-bit 6.0 GB 9 GB 25K
Qwen3.5-9B-5bit 5-bit 7.1 GB 10 GB 274
Qwen3.5-9B-6bit 6-bit 8.2 GB 12 GB 1.2K
Qwen3.5-9B-8bit 8-bit 10.4 GB 14 GB 3.0K
Qwen3.5-9B-bf16 bf16 18.8 GB 24 GB 1.8K
Qwen3.5-9B-3bit 3-bit — — 0
Qwen3.5-9B-mixed_2_6 Unstated — — 0
Qwen3.5-9B-mixed_3_4 Unstated — — 0
Qwen3.5-9B-mixed_3_5 Unstated — — 0
Qwen3.5-9B-mixed_3_6 Unstated — — 0
Qwen3.5-9B-mixed_3_8 Unstated — — 0
Qwen3.5-9B-mixed_4_6 Unstated — — 0
Qwen3.5-9B-mixed_4_8 Unstated — — 0
Qwen3.5-9B-mxfp4 MXFP4 — — 0
Qwen3.5-9B-mxfp8 MXFP8 — — 0
Qwen3.5-9B-nvfp4 Unstated — — 0

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