Instructions to use vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4 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("vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4") config = load_config("vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4") # 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 vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4"
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": "vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4 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 "vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4"
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 vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4
Run Hermes
hermes
Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4
Converted from huihui-ai/Huihui-MiniCPM-V-4.6-abliterated
with mlx-vlm from the current main branch.
Conversion
- Source:
huihui-ai/Huihui-MiniCPM-V-4.6-abliterated - Format: MLX
- Quantization: bfloat16 + nvfp4
- Processor files:
processor_config.json+preprocessor_config.json
Smoke test
- Prompt:
Describe this image in one sentence. - Image: 64x64 solid red PNG
- Result:
The image is entirely filled with a solid red color.
Usage
python -m mlx_vlm.generate --model vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4 --max-tokens 32 --temperature 0.0 --trust-remote-code --prompt "Describe this image in one sentence." --image <path_to_image>
- Downloads last month
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Model size
1B params
Tensor type
BF16
路
U8 路
U32 路
Hardware compatibility
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4-bit
Model tree for vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4
Base model
openbmb/MiniCPM-V-4.6