How to use tensorblock/Python-Code-33B-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf tensorblock/Python-Code-33B-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/Python-Code-33B-GGUF:Q2_K
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tensorblock/Python-Code-33B-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/Python-Code-33B-GGUF:Q2_K
# 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 tensorblock/Python-Code-33B-GGUF:Q2_K # Run inference directly in the terminal: ./llama-cli -hf tensorblock/Python-Code-33B-GGUF:Q2_K
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 tensorblock/Python-Code-33B-GGUF:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf tensorblock/Python-Code-33B-GGUF:Q2_K
docker model run hf.co/tensorblock/Python-Code-33B-GGUF:Q2_K
How to use tensorblock/Python-Code-33B-GGUF with Ollama:
ollama run hf.co/tensorblock/Python-Code-33B-GGUF:Q2_K
How to use tensorblock/Python-Code-33B-GGUF with Docker Model Runner:
How to use tensorblock/Python-Code-33B-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tensorblock/Python-Code-33B-GGUF:Q2_K
lemonade run user.Python-Code-33B-GGUF-Q2_K
lemonade list
