Google · First MLX build 12 Mar 2025
gemma-3-12b
MLX
TextVision gemma
A 13B parameter vision and text model from Google, with 4 MLX builds, from bf16 to 6-bit.
- Parameters
- 13B From Hugging Face
- Quantisation
- 4-bit gemma-3-12b-pt-4bit
- Memory needed
- — GB Estimate, unified memory
- Download
- — Weights, estimated
- Downloads
- 70 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 4 On mlx-community
- Devices
- Mac Apple silicon
Memory
Hugging Face does not list a weights size for this build, so there is no memory estimate.
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-3-12b-pt-4bit --image photo.jpg --prompt "Describe this image"MLX builds
4 on mlx-community| gemma-3-12b-pt-bf16 | bf16 | 26.4 GB | 32 GB | 31 |
|---|---|---|---|---|
| gemma-3-12b-pt-4bit | 4-bit | — | — | 70 |
| gemma-3-12b-pt-8bit | 8-bit | — | — | 30 |
| gemma-3-12b-pt-6bit | 6-bit | — | — | 29 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.