Image-Text-to-Text
MLX
Safetensors
minicpmv4_6
minicpm-v
multimodal
On-Device Model
conversational
4-bit precision
Instructions to use mlx-community/MiniCPM-V-4.6-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/MiniCPM-V-4.6-4bit 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/MiniCPM-V-4.6-4bit") config = load_config("mlx-community/MiniCPM-V-4.6-4bit") # 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
- LM Studio
- Pi new
How to use mlx-community/MiniCPM-V-4.6-4bit 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/MiniCPM-V-4.6-4bit"
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/MiniCPM-V-4.6-4bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use mlx-community/MiniCPM-V-4.6-4bit 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/MiniCPM-V-4.6-4bit"
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/MiniCPM-V-4.6-4bit
Run Hermes
hermes
- Xet hash:
- 9d0cfa553e33059f0ecc3a47f722984d6dfc8e9656d6c87cd4dfb75b86962f00
- Size of remote file:
- 20 MB
- SHA256:
- 83fd10d1ff5d0bf7bd4e0dea788bcee2e9f56a29cb341f9b0ec352e5d8e1ece3
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