How to use cstr/embeddinggemma-300m-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf cstr/embeddinggemma-300m-GGUF:IQ4_XS --embeddings
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf cstr/embeddinggemma-300m-GGUF:IQ4_XS --embeddings
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible embeddings server: ./build/bin/llama serve -hf cstr/embeddinggemma-300m-GGUF:IQ4_XS --embeddings
How to use cstr/embeddinggemma-300m-GGUF with Ollama:
ollama run hf.co/cstr/embeddinggemma-300m-GGUF:IQ4_XS
How to use cstr/embeddinggemma-300m-GGUF with Docker Model Runner:
docker model run hf.co/cstr/embeddinggemma-300m-GGUF:IQ4_XS
How to use cstr/embeddinggemma-300m-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull cstr/embeddinggemma-300m-GGUF:IQ4_XS
lemonade run user.embeddinggemma-300m-GGUF-IQ4_XS
lemonade list
