Instructions to use ente-ai/embeddinggemma-300m-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 ente-ai/embeddinggemma-300m-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 ente-ai/embeddinggemma-300m-gguf:Q8_0 # Run inference directly in the terminal: llama cli -hf ente-ai/embeddinggemma-300m-gguf:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ente-ai/embeddinggemma-300m-gguf:Q8_0 # Run inference directly in the terminal: llama cli -hf ente-ai/embeddinggemma-300m-gguf:Q8_0
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 ente-ai/embeddinggemma-300m-gguf:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf ente-ai/embeddinggemma-300m-gguf:Q8_0
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 ente-ai/embeddinggemma-300m-gguf:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf ente-ai/embeddinggemma-300m-gguf:Q8_0
Use Docker
docker model run hf.co/ente-ai/embeddinggemma-300m-gguf:Q8_0
- LM Studio
- Jan
- Ollama
How to use ente-ai/embeddinggemma-300m-gguf with Ollama:
ollama run hf.co/ente-ai/embeddinggemma-300m-gguf:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use ente-ai/embeddinggemma-300m-gguf with Docker Model Runner:
docker model run hf.co/ente-ai/embeddinggemma-300m-gguf:Q8_0
- Lemonade
How to use ente-ai/embeddinggemma-300m-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ente-ai/embeddinggemma-300m-gguf:Q8_0
Run and chat with the model
lemonade run user.embeddinggemma-300m-gguf-Q8_0
List all available models
lemonade list
- Atomic Chat
EmbeddingGemma 300M Q8_0 GGUF โ Ente mirror for Ensu
This repository is an Ente-operated, byte-for-byte mirror of a single upstream GGUF artifact. It exists so that Ensu's on-device retrieval feature can download its shared embedding model directly, while remaining exactly compatible with the published Ensu knowledge packs.
Ente has not modified, re-converted, re-quantized, or repacked the GGUF
file. See MODIFICATIONS.md for the modification
disclosure and PROVENANCE.json for machine-readable
provenance.
Source
| Field | Value |
|---|---|
| Base model | google/embeddinggemma-300m |
| Source GGUF repository | ggml-org/embeddinggemma-300M-GGUF |
| Source revision (immutable) | 0f741b5a6585bd53aeb15cd1372c56f2a0f65e12 |
| Filename | embeddinggemma-300M-Q8_0.gguf |
| SHA-256 | b5ce9d77a3fc4b3b39ccb5643c36777911cc4eb46a66962eadfa3f5f60490d63 |
The GGUF Q8_0 artifact is a converted/quantized derivative of
google/embeddinggemma-300m; the conversion was published upstream by
ggml-org.
Terms of use
This model is a Gemma model and is provided under and subject to the Gemma Terms of Use, including the incorporated Gemma Prohibited Use Policy. By downloading or using this model you agree to be bound by those terms and must not use the model for any use restricted by the Prohibited Use Policy.
Copies of the required notice, terms, policy, and provenance files are included in this repository:
Affiliation
Ente is not affiliated with, and this distribution is not endorsed by, Google. Gemma is a model family published by Google; all trademarks are the property of their respective owners.
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google/embeddinggemma-300m
docker model run hf.co/ente-ai/embeddinggemma-300m-gguf:Q8_0