How to use from
Pi
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf bigatuna/NousCoder-14B-GGUF:
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": "bigatuna/NousCoder-14B-GGUF:"
        }
      ]
    }
  }
}
Run Pi
# Start Pi in your project directory:
pi
Quick Links

NousCoder-14B GGUF

GGUF quantizations of NousResearch/NousCoder-14B for use with llama.cpp, Ollama, LM Studio, and other GGUF-compatible inference engines.

Credits

All credit goes to NousResearch for training and releasing the original NousCoder-14B model. This repo only provides quantized GGUF versions for easier local inference.

Available Quants

Filename Quant Size Description
nouscoder-14b-q4_k_m.gguf Q4_K_M 8.4 GB Good balance of quality and size
nouscoder-14b-q3_k_m.gguf Q3_K_M 6.9 GB Lower memory, good quality
nouscoder-14b-q3_k_s.gguf Q3_K_S 6.2 GB Smallest, for constrained environments

Usage

llama.cpp

./llama-cli -m nouscoder-14b-q4_k_m.gguf -p "def fibonacci(n):"

Ollama

ollama run hf.co/bigatuna/NousCoder-14B-GGUF:Q4_K_M

Original Model

Downloads last month
49
GGUF
Model size
15B params
Architecture
qwen3
Hardware compatibility
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Model tree for bigatuna/NousCoder-14B-GGUF

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Quantized
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