Instructions to use mlx-community/North-Mini-Code-1.0-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/North-Mini-Code-1.0-4bit with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("mlx-community/North-Mini-Code-1.0-4bit") config = load_config("mlx-community/North-Mini-Code-1.0-4bit") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use mlx-community/North-Mini-Code-1.0-4bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/North-Mini-Code-1.0-4bit"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "mlx-community/North-Mini-Code-1.0-4bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use mlx-community/North-Mini-Code-1.0-4bit with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/North-Mini-Code-1.0-4bit"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default mlx-community/North-Mini-Code-1.0-4bit
Run Hermes
hermes
| inference: false | |
| library_name: mlx | |
| license: apache-2.0 | |
| tags: | |
| - conversational | |
| - chat | |
| - code | |
| - agent | |
| - mlx | |
| pipeline_tag: image-text-to-text | |
| base_model: CohereLabs/North-Mini-Code-1.0 | |
| # mlx-community/North-Mini-Code-1.0-4bit | |
| This model was converted to MLX format from [`CohereLabs/North-Mini-Code-1.0`](https://huggingface.co/CohereLabs/North-Mini-Code-1.0) | |
| using mlx-vlm version **0.6.2**. | |
| Refer to the [original model card](https://huggingface.co/CohereLabs/North-Mini-Code-1.0) for more details on the model. | |
| ## Use with mlx | |
| ```bash | |
| pip install -U mlx-vlm | |
| ``` | |
| ```bash | |
| python -m mlx_vlm.generate --model mlx-community/North-Mini-Code-1.0-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image> | |
| ``` | |