MLX Community · First MLX build 24 Feb 2026
Qwen3.5-27B
MLX
TextVision apache-2.0
A 27B parameter vision and text model, with 6 MLX builds, from 4-bit DWQ to bf16.
- Parameters
- 27B From Hugging Face
- Quantisation
- 4-bit Qwen3.5-27B-4bit
- Memory needed
- 20 GB Estimate, unified memory
- Download
- 16.1 GB Weights, estimated
- Downloads
- 3.0K This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 6 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 20 GB at 4-bit
8 GB
16 GB
24 GB
32 GB
64 GB
128 GB
Fits with headroomTight, close other appsWon’t fit
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/Qwen3.5-27B-4bit --image photo.jpg --prompt "Describe this image"MLX builds
6 on mlx-community| Qwen3.5-27B-4bit-DWQ | 4-bit DWQ | 15.1 GB | 19 GB | 210 |
|---|---|---|---|---|
| Qwen3.5-27B-4bit | 4-bit | 16.1 GB | 20 GB | 3.0K |
| Qwen3.5-27B-5bit | 5-bit | 19.4 GB | 24 GB | 70 |
| Qwen3.5-27B-6bit | 6-bit | 22.8 GB | 28 GB | 93 |
| Qwen3.5-27B-8bit | 8-bit | 29.5 GB | 35 GB | 528 |
| Qwen3.5-27B-bf16 | bf16 | 54.7 GB | 64 GB | 1.5K |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.