Feature Extraction
GGUF
llama.cpp
embeddings
sentence-similarity
multimodal-embedding
gemma
imatrix
quantized
atomic-chat
Instructions to use AtomicChat/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 AtomicChat/embeddinggemma-2-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf AtomicChat/embeddinggemma-2-GGUF:Q4_K_M --embeddings
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf AtomicChat/embeddinggemma-2-GGUF:Q4_K_M --embeddings
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible embeddings server: ./llama-server -hf AtomicChat/embeddinggemma-2-GGUF:Q4_K_M --embeddings
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 embeddings server: ./build/bin/llama-server -hf AtomicChat/embeddinggemma-2-GGUF:Q4_K_M --embeddings
- Llama new
- LM Studio
- Jan
- Ollama
How to use AtomicChat/embeddinggemma-2-GGUF with Ollama:
ollama run hf.co/AtomicChat/embeddinggemma-2-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use AtomicChat/embeddinggemma-2-GGUF with Docker Model Runner:
docker model run hf.co/AtomicChat/embeddinggemma-2-GGUF:Q4_K_M
- Lemonade
How to use AtomicChat/embeddinggemma-2-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AtomicChat/embeddinggemma-2-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.embeddinggemma-2-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Card: how we compressed it better, same-size comparison with AutoRound and ggml-org, bit layout figure
fd451a4 verified Download bits-by-layer.png from AtomicChat/embeddinggemma-2-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 292 kB
-
https://huggingface.co/AtomicChat/embeddinggemma-2-GGUF/resolve/main/bits-by-layer.png
- Command line
-
hf download hf://AtomicChat/embeddinggemma-2-GGUF/bits-by-layer.png
-
curl -L -o bits-by-layer.png https://huggingface.co/AtomicChat/embeddinggemma-2-GGUF/resolve/main/bits-by-layer.png
292 kB

- Xet hash:
- 6896776e7414f960851d36bc6e7cb7ede8c41cef13eb7f2425526f902cc0b38d
- Size of remote file:
- 292 kB
- SHA256:
- 0fee1419f839ebb85e74e2cc0149b256a676a45a48608b47ef6ed666ad6d5740
·
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