Google · First MLX build 2 Apr 2026
gemma-4-31B-it
MLX
TextVision apache-2.0
A 31B parameter vision and text model from Google, with 10 MLX builds, from 6-bit to bf16.
- Parameters
- 31B From Hugging Face
- Quantisation
- 4-bit gemma-4-31b-it-4bit
- Memory needed
- 23 GB Estimate, unified memory
- Download
- 18.4 GB Weights, estimated
- Downloads
- 8.1K This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 10 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/gemma-4-31b-it-4bit --image photo.jpg --prompt "Describe this image"MLX builds
10 on mlx-community| gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking-4.6bit-msq | 6-bit | 6.5 GB | 10 GB | 101 |
|---|---|---|---|---|
| gemma-4-31b-it-4bit | 4-bit | 18.4 GB | 23 GB | 8.1K |
| gemma-4-31b-it-mxfp4 | MXFP4 | 18.4 GB | 23 GB | 290 |
| gemma-4-31b-it-nvfp4 | 4-bit | 18.4 GB | 23 GB | 196 |
| gemma-4-31B-it-OptiQ-4bit | 4-bit | 18.4 GB | 23 GB | 756 |
| gemma-4-31b-it-5bit | 5-bit | 22.2 GB | 27 GB | 167 |
| gemma-4-31b-it-6bit | 6-bit | 26.1 GB | 32 GB | 701 |
| gemma-4-31b-it-8bit | 8-bit | 33.8 GB | 40 GB | 3.2K |
| gemma-4-31b-it-mxfp8 | MXFP8 | 33.8 GB | 40 GB | 178 |
| gemma-4-31b-it-bf16 | bf16 | 62.5 GB | 72 GB | 1.6K |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.