How to use SpacemiT/FastVLM-0.5B with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf SpacemiT/FastVLM-0.5B:Q4_1 # Run inference directly in the terminal: llama cli -hf SpacemiT/FastVLM-0.5B:Q4_1
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf SpacemiT/FastVLM-0.5B:Q4_1 # Run inference directly in the terminal: llama cli -hf SpacemiT/FastVLM-0.5B:Q4_1
# 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 SpacemiT/FastVLM-0.5B:Q4_1 # Run inference directly in the terminal: ./llama-cli -hf SpacemiT/FastVLM-0.5B:Q4_1
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 SpacemiT/FastVLM-0.5B:Q4_1 # Run inference directly in the terminal: ./build/bin/llama-cli -hf SpacemiT/FastVLM-0.5B:Q4_1
docker model run hf.co/SpacemiT/FastVLM-0.5B:Q4_1
How to use SpacemiT/FastVLM-0.5B with Ollama:
ollama run hf.co/SpacemiT/FastVLM-0.5B:Q4_1
How to use SpacemiT/FastVLM-0.5B with Docker Model Runner:
How to use SpacemiT/FastVLM-0.5B with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull SpacemiT/FastVLM-0.5B:Q4_1
lemonade run user.FastVLM-0.5B-Q4_1
lemonade list
