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

ggerganov HF Staff

olegshulyakov commited on Sep 15, 2025

Commit

8dd0ca2

verified ·

1 Parent(s): 0457019

Update README.md (#1)

Browse files

- Update README.md (3bffe327c13df5446eed12c6136985443751acb2)

Co-authored-by: Oleg Shulyakov <olegshulyakov@users.noreply.huggingface.co>

Files changed (1) hide show

README.md +7 -2

README.md CHANGED Viewed

@@ -1,6 +1,11 @@
 ---
 base_model:
-- google/embeddinggemma-300M-qat-q4_0
 ---
 # embeddinggemma-300M-qat-q4_0 GGUF
@@ -45,4 +50,4 @@ This can be passed in the request body to `llama-server`, for example:
 And for `llama-embedding`, by passing `--embd-normalize <value>`, for example:
 ```sh
 llama-embedding -hf ggml-org/embeddinggemma-300M-qat-q4_0-GGUF  --embd-normalize -1 -p "Hello embeddings"
-```

 ---
+license: gemma
+tags:
+  - sentence-transformers
+  - sentence-similarity
+  - feature-extraction
 base_model:
+- google/embeddinggemma-300m-qat-q4_0-unquantized
 ---
 # embeddinggemma-300M-qat-q4_0 GGUF
 And for `llama-embedding`, by passing `--embd-normalize <value>`, for example:
 ```sh
 llama-embedding -hf ggml-org/embeddinggemma-300M-qat-q4_0-GGUF  --embd-normalize -1 -p "Hello embeddings"
+```