EmbeddingGemma
Collection
2 items • Updated
How to use confamnode/embeddinggemma-300m-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf confamnode/embeddinggemma-300m-GGUF:Q4_K_M --embeddings
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf confamnode/embeddinggemma-300m-GGUF:Q4_K_M --embeddings
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible embeddings server: ./llama-server -hf confamnode/embeddinggemma-300m-GGUF:Q4_K_M --embeddings
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 embeddings server: ./build/bin/llama-server -hf confamnode/embeddinggemma-300m-GGUF:Q4_K_M --embeddings
How to use confamnode/embeddinggemma-300m-GGUF with Ollama:
ollama run hf.co/confamnode/embeddinggemma-300m-GGUF:Q4_K_M
How to use confamnode/embeddinggemma-300m-GGUF with Docker Model Runner:
docker model run hf.co/confamnode/embeddinggemma-300m-GGUF:Q4_K_M
How to use confamnode/embeddinggemma-300m-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull confamnode/embeddinggemma-300m-GGUF:Q4_K_M
lemonade run user.embeddinggemma-300m-GGUF-Q4_K_M
lemonade list
No model card
4-bit
5-bit
6-bit
8-bit