How to use from
PiConfigure 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:
piQuick Links
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>
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Model size
1B params
Tensor type
BF16
路
U8 路
U32 路
Hardware compatibility
Log In to add your hardware
4-bit
Model tree for vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-nvfp4
Base model
openbmb/MiniCPM-V-4.6
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"