Feature Extraction
GGUF
multilingual
embedding
multimodal-embedding
multimodal
vision
audio
video
image-feature-extraction
audio-feature-extraction
video-feature-extraction
sentence-similarity
unsloth
conversational
Instructions to use unsloth/embeddinggemma-2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use unsloth/embeddinggemma-2-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf unsloth/embeddinggemma-2-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf unsloth/embeddinggemma-2-GGUF:UD-Q4_K_XL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf unsloth/embeddinggemma-2-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf unsloth/embeddinggemma-2-GGUF:UD-Q4_K_XL
Use pre-built binary
# 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 unsloth/embeddinggemma-2-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf unsloth/embeddinggemma-2-GGUF:UD-Q4_K_XL
Build from source code
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 unsloth/embeddinggemma-2-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf unsloth/embeddinggemma-2-GGUF:UD-Q4_K_XL
Use Docker
docker model run hf.co/unsloth/embeddinggemma-2-GGUF:UD-Q4_K_XL
- LM Studio
- Jan
- Ollama
How to use unsloth/embeddinggemma-2-GGUF with Ollama:
ollama run hf.co/unsloth/embeddinggemma-2-GGUF:UD-Q4_K_XL
- Unsloth Desktop
- Docker Model Runner
How to use unsloth/embeddinggemma-2-GGUF with Docker Model Runner:
docker model run hf.co/unsloth/embeddinggemma-2-GGUF:UD-Q4_K_XL
- Lemonade
How to use unsloth/embeddinggemma-2-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull unsloth/embeddinggemma-2-GGUF:UD-Q4_K_XL
Run and chat with the model
lemonade run user.embeddinggemma-2-GGUF-UD-Q4_K_XL
List all available models
lemonade list
- Atomic Chat
EmbeddingGemma 2 - Chat with Files, Fine-tune, use Semantic Search, RAG with Unsloth!
#2
pinned
by danielhanchen - opened
Hey guys, Unsloth Desktop now supports virtually every single usecase for EmbeddingGemma-2.
GitHub: https://github.com/unslothai/unsloth
Read our guide here: https://unsloth.ai/docs/models/embeddinggemma-2
danielhanchen pinned discussion
Cool! π

