Tongyi-MAI · First MLX build 21 Mar 2026
MAI-UI-2B
MLX
TextVision apache-2.0
A 2.1B parameter vision and text model from Tongyi-MAI, with 2 MLX builds, from 6-bit to bf16.
- Parameters
- 2.1B From Hugging Face
- Quantisation
- 6-bit MAI-UI-2B-6bit-v2
- Memory needed
- 5 GB Estimate, unified memory
- Download
- 2.2 GB Weights, estimated
- Downloads
- 104 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 2 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 5 GB at 6-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/MAI-UI-2B-6bit-v2 --image photo.jpg --prompt "Describe this image"MLX builds
2 on mlx-community| MAI-UI-2B-6bit-v2 | 6-bit | 2.2 GB | 5 GB | 104 |
|---|---|---|---|---|
| MAI-UI-2B-bf16-v2 | bf16 | 4.3 GB | 7 GB | 18 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.