python -m mlx_vlm convert \
  --hf-path CohereLabs/North-Micro-Vision-Instruct \
  --mlx-path North-Micro-Vision-Instruct-4bit \
  --quantize --q-bits 4 --q-group-size 64 --q-mode affine \
  --upload-repo mlx-community/North-Micro-Vision-Instruct-4bit

Usage

Cohere Compass support is available on the current MLX-VLM main branch. Install it directly from GitHub:

pip install -U "mlx-vlm @ git+https://github.com/Blaizzy/mlx-vlm.git"

Run vision-language inference:

bash

mlx_vlm.generate \
  --model mlx-community/North-Micro-Vision-Instruct-4bit \
  --image /path/to/image.jpg \
  --prompt "Describe this image." \
  --max-tokens 512 \
  --temperature 0.0

You can also pass an image URL to --image.

Notes

MLX is optimized for Apple silicon.
This repository changes the storage precision/quantization, not the source model architecture or intended behavior.
Refer to the original model card for capabilities, limitations, licensing context, and responsible-use guidance.