How to use from
Pi
Start the MLX server
# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "nabi-chan/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX-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": "nabi-chan/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit"
        }
      ]
    }
  }
}
Run Pi
# Start Pi in your project directory:
pi
Quick Links

Working in Progress!

This model is a version of hesamation/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled converted via MLX 0.31.2

I do not recommend its use for practical applications as I have not yet completed testing on quantization for now.

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