MLX Community · First MLX build 2 Mar 2026

Qwen3.5-0.8B

MLX TextVision apache-2.0

A 853M parameter vision and text model, with 16 MLX builds, from 3-bit to bf16.

Hugging Face
Parameters
853M
From Hugging Face
Quantisation
4-bit
Qwen3.5-0.8B-4bit
Memory needed
3 GB
Estimate, unified memory
Download
625 MB
Weights, estimated
Downloads
60K
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/Qwen3.5-0.8B-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.
Qwen3.5-0.8B-3bit 3-bit 280 MB 3 GB 29
Qwen3.5-0.8B-mxfp4 MXFP4 281 MB 3 GB 36
Qwen3.5-0.8B-mixed_3_4 4-bit 294 MB 3 GB 19
Qwen3.5-0.8B-mixed_2_6 4-bit 297 MB 3 GB 21
Qwen3.5-0.8B-mixed_3_5 4-bit 299 MB 3 GB 16
Qwen3.5-0.8B-mixed_3_6 4-bit 305 MB 3 GB 21
Qwen3.5-0.8B-nvfp4 4-bit 308 MB 3 GB 1.5K
Qwen3.5-0.8B-mixed_4_6 4-bit 313 MB 3 GB 28
Qwen3.5-0.8B-mixed_3_8 4-bit 315 MB 3 GB 12
Qwen3.5-0.8B-mixed_4_8 4-bit 323 MB 3 GB 18
Qwen3.5-0.8B-mxfp8 MXFP8 427 MB 3 GB 761
Qwen3.5-0.8B-4bit 4-bit 625 MB 3 GB 60K
Qwen3.5-0.8B-5bit 5-bit 719 MB 3 GB 586
Qwen3.5-0.8B-6bit 6-bit 813 MB 3 GB 338
Qwen3.5-0.8B-8bit 8-bit 1.0 GB 4 GB 7.3K
Qwen3.5-0.8B-bf16 bf16 1.7 GB 4 GB 2.0K

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