README.md

---
library_name: mlx
license: apache-2.0
pipeline_tag: image-text-to-text
language:
- en
tags:
- mlx
- mlx-vlm
- vision-language
- multimodal
- cohere
- north
- quantized
base_model: CohereLabs/North-Micro-Vision-Instruct
base_model_relation: quantized
---

# North Micro Vision Instruct — MXFP4 (MLX)

This repository contains an Apple MLX conversion of
[CohereLabs/North-Micro-Vision-Instruct](https://huggingface.co/CohereLabs/North-Micro-Vision-Instruct). MXFP4 MLX quantization with group size 32.

It belongs to the
[North Vision MLX collection](https://huggingface.co/collections/mlx-community/north-vision-6a7c9be6ccc1cd992a83aecb), which includes BF16, affine
4/5/6/8-bit, MXFP4, MXFP8, and NVFP4 variants.

## Conversion details

- Source: [CohereLabs/North-Micro-Vision-Instruct](https://huggingface.co/CohereLabs/North-Micro-Vision-Instruct)
- Format: MLX / MLX-VLM
- Quantization: bits: 4; group size: 32; mode: mxfp4
- MLX-VLM source revision: main at 7ee8eba3

The repository was regenerated and uploaded directly with the MLX-VLM
conversion CLI:

~~~bash
python -m mlx_vlm convert \
  --hf-path CohereLabs/North-Micro-Vision-Instruct \
  --mlx-path North-Micro-Vision-Instruct-mxfp4 \
  --quantize --q-bits 4 --q-group-size 32 --q-mode mxfp4 \
  --upload-repo mlx-community/North-Micro-Vision-Instruct-mxfp4
~~~

## Usage

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

~~~bash
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-mxfp4 \
  --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](https://huggingface.co/CohereLabs/North-Micro-Vision-Instruct) for capabilities,
  limitations, licensing context, and responsible-use guidance.