MLX Community · First MLX build 8 Jun 2026
unsloth-gemma-4-31B-it-qat-oQ4
MLX
TextVision apache-2.0
A 31B parameter vision and text model, with one MLX build at 4-bit.
- Parameters
- 31B From Hugging Face
- Quantisation
- 4-bit unsloth-gemma-4-31B-it-qat-oQ4
- Memory needed
- 23 GB Estimate, unified memory
- Download
- 18.4 GB Weights, estimated
- Downloads
- 200 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 1 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 23 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/unsloth-gemma-4-31B-it-qat-oQ4 --image photo.jpg --prompt "Describe this image"MLX builds
1 on mlx-community| unsloth-gemma-4-31B-it-qat-oQ4 | 4-bit | 18.4 GB | 23 GB | 200 |
|---|
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.