How to use svjack/ggml with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf svjack/ggml:Q4_0 # Run inference directly in the terminal: llama cli -hf svjack/ggml:Q4_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf svjack/ggml:Q4_0 # Run inference directly in the terminal: llama cli -hf svjack/ggml:Q4_0
# 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 svjack/ggml:Q4_0 # Run inference directly in the terminal: ./llama-cli -hf svjack/ggml:Q4_0
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 svjack/ggml:Q4_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf svjack/ggml:Q4_0
docker model run hf.co/svjack/ggml:Q4_0
How to use svjack/ggml with Ollama:
ollama run hf.co/svjack/ggml:Q4_0
How to use svjack/ggml with Docker Model Runner:
How to use svjack/ggml with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull svjack/ggml:Q4_0
lemonade run user.ggml-Q4_0
lemonade list
