Instructions to use ggml-org/embeddinggemma-300M-qat-q4_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ggml-org/embeddinggemma-300M-qat-q4_0-GGUF with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("ggml-org/embeddinggemma-300M-qat-q4_0-GGUF")

sentences = [
    "The weather is lovely today.",
    "It's so sunny outside!",
    "He drove to the stadium."
]
embeddings = model.encode(sentences)

similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use ggml-org/embeddinggemma-300M-qat-q4_0-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 ggml-org/embeddinggemma-300M-qat-q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf ggml-org/embeddinggemma-300M-qat-q4_0-GGUF:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ggml-org/embeddinggemma-300M-qat-q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf ggml-org/embeddinggemma-300M-qat-q4_0-GGUF:Q4_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 ggml-org/embeddinggemma-300M-qat-q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf ggml-org/embeddinggemma-300M-qat-q4_0-GGUF:Q4_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 ggml-org/embeddinggemma-300M-qat-q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ggml-org/embeddinggemma-300M-qat-q4_0-GGUF:Q4_0

Use Docker

docker model run hf.co/ggml-org/embeddinggemma-300M-qat-q4_0-GGUF:Q4_0

LM Studio
Jan
Ollama
How to use ggml-org/embeddinggemma-300M-qat-q4_0-GGUF with Ollama:
```
ollama run hf.co/ggml-org/embeddinggemma-300M-qat-q4_0-GGUF:Q4_0
```
Unsloth Desktop
Docker Model Runner
How to use ggml-org/embeddinggemma-300M-qat-q4_0-GGUF with Docker Model Runner:
```
docker model run hf.co/ggml-org/embeddinggemma-300M-qat-q4_0-GGUF:Q4_0
```

Lemonade

How to use ggml-org/embeddinggemma-300M-qat-q4_0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ggml-org/embeddinggemma-300M-qat-q4_0-GGUF:Q4_0

Run and chat with the model

lemonade run user.embeddinggemma-300M-qat-q4_0-GGUF-Q4_0

List all available models

lemonade list

Atomic Chat

danbev commited on Sep 4, 2025

Commit

7cf7a02

verified ·

1 Parent(s): 27a93d4

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