BAAI · First MLX build 6 Oct 2026
AREX-2
MLX
TextVision apache-2.0 Trending
A 27B parameter vision and text model from BAAI, with 4 MLX builds, from 4-bit to 8-bit.
- Parameters
- 27B From Hugging Face
- Quantisation
- 6-bit AREX-2-6bit
- Memory needed
- 28 GB Estimate, unified memory
- Download
- 22.8 GB Weights, estimated
- Downloads
- 358 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 4 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 28 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/AREX-2-6bit --image photo.jpg --prompt "Describe this image"MLX builds
4 on mlx-community| AREX-2-4bit | 4-bit | 16.1 GB | 20 GB | 217 |
|---|---|---|---|---|
| AREX-2-5bit | 5-bit | 19.4 GB | 24 GB | 291 |
| AREX-2-6bit | 6-bit | 22.8 GB | 28 GB | 358 |
| AREX-2-8bit | 8-bit | 29.5 GB | 35 GB | 174 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.