How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Novaciano/1B-GGUF:Q4_K_M# Run inference directly in the terminal:
llama cli -hf Novaciano/1B-GGUF:Q4_K_MUse 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 Novaciano/1B-GGUF:Q4_K_M# Run inference directly in the terminal:
./llama-cli -hf Novaciano/1B-GGUF:Q4_K_MBuild 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 Novaciano/1B-GGUF:Q4_K_M# Run inference directly in the terminal:
./build/bin/llama-cli -hf Novaciano/1B-GGUF:Q4_K_MUse Docker
docker model run hf.co/Novaciano/1B-GGUF:Q4_K_MQuick Links
1B
Model creator: Novaciano
Original model: Novaciano/1B
GGUF quantization: provided by Novaciano using llama.cpp
Special thanks
🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
Use with Ollama
ollama run "hf.co/Novaciano/1B-GGUF:Q4_K_M"
Use with LM Studio
lms load "Novaciano/1B-GGUF"
Use with llama.cpp CLI
llama-cli --hf "Novaciano/1B-GGUF:Q4_K_M" -p "The meaning to life and the universe is"
Use with llama.cpp Server:
llama-server --hf "Novaciano/1B-GGUF:Q4_K_M" -c 4096
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Base model
Novaciano/1B
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf Novaciano/1B-GGUF:Q4_K_M# Run inference directly in the terminal: llama cli -hf Novaciano/1B-GGUF:Q4_K_M