MLX Community · First MLX build 24 Feb 2026
Qwen3.5-122B-A10B
MLX
TextVision apache-2.0
A 123B parameter vision and text model, with 5 MLX builds, from 4-bit to bf16.
- Parameters
- 123B From Hugging Face
- Quantisation
- 4-bit Qwen3.5-122B-A10B-4bit
- Memory needed
- 80 GB Estimate, unified memory
- Download
- 69.6 GB Weights, estimated
- Downloads
- 5.8K This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 5 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 80 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/Qwen3.5-122B-A10B-4bit --image photo.jpg --prompt "Describe this image"MLX builds
5 on mlx-community| Qwen3.5-122B-A10B-4bit | 4-bit | 69.6 GB | 80 GB | 5.8K |
|---|---|---|---|---|
| Qwen3.5-122B-A10B-5bit | 5-bit | 84.9 GB | 97 GB | 306 |
| Qwen3.5-122B-A10B-6bit | 6-bit | 100 GB | 114 GB | 983 |
| Qwen3.5-122B-A10B-8bit | 8-bit | 131 GB | 149 GB | 713 |
| Qwen3.5-122B-A10B-bf16 | bf16 | 245 GB | 276 GB | 1.7K |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.