Multilingual Embeddings
Collection
3 items โข Updated
How to use CompendiumLabs/qwen3-embedding-4b-gguf with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf CompendiumLabs/qwen3-embedding-4b-gguf:BF16 --embeddings
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf CompendiumLabs/qwen3-embedding-4b-gguf:BF16 --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 CompendiumLabs/qwen3-embedding-4b-gguf:BF16 --embeddings
How to use CompendiumLabs/qwen3-embedding-4b-gguf with Ollama:
ollama run hf.co/CompendiumLabs/qwen3-embedding-4b-gguf:BF16
How to use CompendiumLabs/qwen3-embedding-4b-gguf with Docker Model Runner:
docker model run hf.co/CompendiumLabs/qwen3-embedding-4b-gguf:BF16
How to use CompendiumLabs/qwen3-embedding-4b-gguf with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull CompendiumLabs/qwen3-embedding-4b-gguf:BF16
lemonade run user.qwen3-embedding-4b-gguf-BF16
lemonade list
winget install llama.cpp
# Start a local OpenAI-compatible embeddings server:
llama serve -hf CompendiumLabs/qwen3-embedding-4b-gguf:BF16 --embeddingsgit 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 CompendiumLabs/qwen3-embedding-4b-gguf:BF16 --embeddings16-bit
Install (macOS, Linux)
# Start a local OpenAI-compatible embeddings server: llama serve -hf CompendiumLabs/qwen3-embedding-4b-gguf:BF16 --embeddings