How to use cduk/embeddinggemma-300m-GGUF-with-dense-modules with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf cduk/embeddinggemma-300m-GGUF-with-dense-modules:F32 # Run inference directly in the terminal: llama cli -hf cduk/embeddinggemma-300m-GGUF-with-dense-modules:F32
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf cduk/embeddinggemma-300m-GGUF-with-dense-modules:F32 # Run inference directly in the terminal: llama cli -hf cduk/embeddinggemma-300m-GGUF-with-dense-modules:F32
# 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 cduk/embeddinggemma-300m-GGUF-with-dense-modules:F32 # Run inference directly in the terminal: ./llama-cli -hf cduk/embeddinggemma-300m-GGUF-with-dense-modules:F32
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 cduk/embeddinggemma-300m-GGUF-with-dense-modules:F32 # Run inference directly in the terminal: ./build/bin/llama-cli -hf cduk/embeddinggemma-300m-GGUF-with-dense-modules:F32
docker model run hf.co/cduk/embeddinggemma-300m-GGUF-with-dense-modules:F32
How to use cduk/embeddinggemma-300m-GGUF-with-dense-modules with Ollama:
ollama run hf.co/cduk/embeddinggemma-300m-GGUF-with-dense-modules:F32
How to use cduk/embeddinggemma-300m-GGUF-with-dense-modules with Docker Model Runner:
How to use cduk/embeddinggemma-300m-GGUF-with-dense-modules with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull cduk/embeddinggemma-300m-GGUF-with-dense-modules:F32
lemonade run user.embeddinggemma-300m-GGUF-with-dense-modules-F32
lemonade list
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