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 "TheCluster/Gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking-MLX-mxfp4"
Configure the model in Pi
# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "TheCluster/Gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking-MLX-mxfp4"
        }
      ]
    }
  }
}
Run Pi
# Start Pi in your project directory:
pi
Quick Links

Gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking

Quality: quantized (mxfp4, 7.298 bpw)

Gemma 4 31B first "Heretic'ed" (de-censored), then fine tuned by DavidAU (Via Unsloth) on "The Deckard" dataset.


Source

This model was converted to MLX format from DavidAU/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking using mlx-vlm version 0.4.4.

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