Cohere · First MLX build 9 Jun 2026
North-Mini-Code-1.0
MLX
TextVision apache-2.0
A 30B parameter vision and text model from Cohere, with 4 MLX builds, from 4-bit to bf16.
- Parameters
- 30B From Hugging Face
- Quantisation
- 4-bit North-Mini-Code-1.0-4bit
- Memory needed
- 23 GB Estimate, unified memory
- Download
- 18.5 GB Weights, estimated
- Downloads
- 561 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 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/North-Mini-Code-1.0-4bit --image photo.jpg --prompt "Describe this image"MLX builds
4 on mlx-community| North-Mini-Code-1.0-4bit | 4-bit | 18.5 GB | 23 GB | 561 |
|---|---|---|---|---|
| North-Mini-Code-1.0-5bit | 5-bit | 22.2 GB | 27 GB | 63 |
| North-Mini-Code-1.0-6bit | 6-bit | 25.9 GB | 31 GB | 101 |
| North-Mini-Code-1.0-bf16 | bf16 | 61.0 GB | 71 GB | 170 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.