How to use from
Pi
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Pinkstackorg/Qwen-3.5-upscaled-14B-noft-q8_0-GGUF:F32
Configure the model in Pi
# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Pinkstackorg/Qwen-3.5-upscaled-14B-noft-q8_0-GGUF:F32"
        }
      ]
    }
  }
}
Run Pi
# Start Pi in your project directory:
pi
Quick Links

q8_0 gguf - tested.

This model is a ~14B parameter upscale of Qwen/Qwen3.5-9B. It has been merged with the base model to boost knowledge while keeping instruction following, because the base model was actually trained with some instruct-like examples.

You should fine-tune this model for it to be fully useable, while it has potential and all capabilities are still intact including vision, it currently faces looping issues, lower quality reasoning/COT. Due to mergekit not supporting qwen3.5, we used a custom layer-wise merge method.

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GGUF
Model size
14B params
Architecture
qwen35
Hardware compatibility
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8-bit

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