Instructions to use SciTools/gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use SciTools/gemma 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 SciTools/gemma:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf SciTools/gemma:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf SciTools/gemma:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf SciTools/gemma:Q4_K_M

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 SciTools/gemma:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf SciTools/gemma:Q4_K_M

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 SciTools/gemma:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf SciTools/gemma:Q4_K_M

Use Docker

docker model run hf.co/SciTools/gemma:Q4_K_M

LM Studio
Jan
Ollama
How to use SciTools/gemma with Ollama:
```
ollama run hf.co/SciTools/gemma:Q4_K_M
```
Unsloth Desktop

How to use SciTools/gemma with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf SciTools/gemma:Q4_K_M

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": "SciTools/gemma:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use SciTools/gemma with Docker Model Runner:
```
docker model run hf.co/SciTools/gemma:Q4_K_M
```

Lemonade

How to use SciTools/gemma with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull SciTools/gemma:Q4_K_M

Run and chat with the model

lemonade run user.gemma-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use SciTools/gemma with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf SciTools/gemma:Q4_K_M

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 SciTools/gemma:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use SciTools/gemma with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf SciTools/gemma:Q4_K_M

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 "SciTools/gemma:Q4_K_M" \
  --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

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---
license: apache-2.0
---

# Gemma 4 GGUF

Google Gemma 4 models in GGUF format, for Understand's local AI. Understand serves them with its
bundled server, ullama, which is built on llama.cpp.

To choose a model, see [Choose a model](https://docs.scitools.com/help/ai/choose-a-local-llm.html) in Understand's help. It compares every model
Understand offers, with SciTools' test results and memory needs, and stays current. This page
only lists the files.

| File | In Understand | Copied unmodified from |
|---|---|---|
| `gemma-4-E4B-it-qat-UD-Q4_K_XL.gguf` | **Gemma4-E4B** | [unsloth/gemma-4-E4B-it-qat-GGUF](https://huggingface.co/unsloth/gemma-4-E4B-it-qat-GGUF) |
| `gemma-4-12b-it-Q4_K_M.gguf` | **Gemma4-12B** | [unsloth/gemma-4-12b-it-GGUF](https://huggingface.co/unsloth/gemma-4-12b-it-GGUF) |
| `gemma-4-E4B-it-Q4_K_M.gguf` | An earlier Gemma4-E4B download, kept for installs that use it | [unsloth/gemma-4-E4B-it-GGUF](https://huggingface.co/unsloth/gemma-4-E4B-it-GGUF) |

Understand's **Gemma4-E2B** is in [SciTools/OnBoard](https://huggingface.co/SciTools/OnBoard).

Gemma 4 is released by Google under the
[Apache 2.0 license](https://ai.google.dev/gemma/docs/gemma_4_license). This repository
redistributes the files unmodified; it is not endorsed by Google.