Instructions to use ggml-org/gemma-4-E4B-it-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use ggml-org/gemma-4-E4B-it-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/gemma-4-E4B-it-GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf ggml-org/gemma-4-E4B-it-GGUF:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ggml-org/gemma-4-E4B-it-GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf ggml-org/gemma-4-E4B-it-GGUF:BF16

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf ggml-org/gemma-4-E4B-it-GGUF:BF16
# Run inference directly in the terminal:
./build/bin/llama cli -hf ggml-org/gemma-4-E4B-it-GGUF:BF16

Use Docker

docker model run hf.co/ggml-org/gemma-4-E4B-it-GGUF:BF16

Llama new
LM Studio
Jan
Ollama
How to use ggml-org/gemma-4-E4B-it-GGUF with Ollama:
```
ollama run hf.co/ggml-org/gemma-4-E4B-it-GGUF:BF16
```
Unsloth Desktop

How to use ggml-org/gemma-4-E4B-it-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ggml-org/gemma-4-E4B-it-GGUF:BF16

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "ggml-org/gemma-4-E4B-it-GGUF:BF16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use ggml-org/gemma-4-E4B-it-GGUF with Docker Model Runner:
```
docker model run hf.co/ggml-org/gemma-4-E4B-it-GGUF:BF16
```

Lemonade

How to use ggml-org/gemma-4-E4B-it-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ggml-org/gemma-4-E4B-it-GGUF:BF16

Run and chat with the model

lemonade run user.gemma-4-E4B-it-GGUF-BF16

List all available models

lemonade list

Hermes Agent

How to use ggml-org/gemma-4-E4B-it-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ggml-org/gemma-4-E4B-it-GGUF:BF16

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default ggml-org/gemma-4-E4B-it-GGUF:BF16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use ggml-org/gemma-4-E4B-it-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ggml-org/gemma-4-E4B-it-GGUF:BF16

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "ggml-org/gemma-4-E4B-it-GGUF:BF16" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

gemma-4-E4B-it

Run it in the Llama app: https://llama.app

Or from the terminal:

llama serve -hf ggml-org/gemma-4-E4B-it-GGUF

Source models

TODOs

add info
add dflash

This model is automatically converted using https://github.com/ggml-org/convert

Downloads last month: 226,873

GGUF

Model size

8B params

Architecture

gemma4

Hardware compatibility

4-bit

8-bit

16-bit

Inference Providers NEW

Any-to-Any

This model isn't deployed by any Inference Provider. 🙋 1 Ask for provider support

Model tree for ggml-org/gemma-4-E4B-it-GGUF

Base model

google/gemma-4-E4B

Finetuned

google/gemma-4-E4B-it

Quantized

(441)

this model

Quantizations

1 model

Spaces using ggml-org/gemma-4-E4B-it-GGUF 4

Collections including ggml-org/gemma-4-E4B-it-GGUF

OCR models

Collection

11 items • Updated Jul 30 • 20

Gemma 4

Collection

5 items • Updated Jul 30 • 41

Article mentioning ggml-org/gemma-4-E4B-it-GGUF

Using OCR models with llama.cpp