How to use from
llama.cpp
Install from brew
brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf bigatuna/NousCoder-14B-GGUF:
# Run inference directly in the terminal:
llama-cli -hf bigatuna/NousCoder-14B-GGUF:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf bigatuna/NousCoder-14B-GGUF:
# Run inference directly in the terminal:
llama-cli -hf bigatuna/NousCoder-14B-GGUF:
Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf bigatuna/NousCoder-14B-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf bigatuna/NousCoder-14B-GGUF:
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf bigatuna/NousCoder-14B-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bigatuna/NousCoder-14B-GGUF:
Use Docker
docker model run hf.co/bigatuna/NousCoder-14B-GGUF:
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
60
GGUF
Model size
15B params
Architecture
qwen3
Hardware compatibility
Log In to add your hardware

3-bit

4-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for bigatuna/NousCoder-14B-GGUF

Finetuned
Qwen/Qwen3-14B
Quantized
(20)
this model