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": "RepublicOfKorokke/Qwen3-Coder-Next-REAP-48B-A3B-mlx-mxfp4"
}
]
}
}
}Run Pi
# Start Pi in your project directory:
piQuick Links
This model was converted to MLX format from lovedheart/Qwen3-Coder-Next-REAP-48B-A3B-GGUF using mlx-lm version 0.30.5.
Original safetensors model from: https://www.modelscope.cn/models/lovedheart/Qwen3-Coder-Next-REAP-48B-A3B/summary
Conversion Command
$ uv run mlx_lm.convert --model ./model/ --mlx-path Qwen3-Coder-Next-REAP-48B-A3B-mlx-mxfp4 -q --q-mode mxfp4 --q-group-size 32
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Model size
49B params
Tensor type
U8
路
U32 路
BF16 路
Hardware compatibility
Log In to add your hardware
4-bit
Model tree for RepublicOfKorokke/Qwen3-Coder-Next-REAP-48B-A3B-mlx-mxfp4
Base model
Qwen/Qwen3-Coder-Next
Start the MLX server
# Install MLX LM: uv tool install mlx-lm# Start a local OpenAI-compatible server: mlx_lm.server --model "RepublicOfKorokke/Qwen3-Coder-Next-REAP-48B-A3B-mlx-mxfp4"