Instructions to use Radamanthys11/Gemma-4-31B-it-assistant-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 Radamanthys11/Gemma-4-31B-it-assistant-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 Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16

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 Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16

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 Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16

Use Docker

docker model run hf.co/Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16

LM Studio
Jan
Ollama
How to use Radamanthys11/Gemma-4-31B-it-assistant-GGUF with Ollama:
```
ollama run hf.co/Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16
```
Unsloth Desktop

How to use Radamanthys11/Gemma-4-31B-it-assistant-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16

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": "Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Radamanthys11/Gemma-4-31B-it-assistant-GGUF with Docker Model Runner:
```
docker model run hf.co/Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16
```

Lemonade

How to use Radamanthys11/Gemma-4-31B-it-assistant-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16

Run and chat with the model

lemonade run user.Gemma-4-31B-it-assistant-GGUF-F16

List all available models

lemonade list

Hermes Agent

How to use Radamanthys11/Gemma-4-31B-it-assistant-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 Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16

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 Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Radamanthys11/Gemma-4-31B-it-assistant-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16

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 "Radamanthys11/Gemma-4-31B-it-assistant-GGUF:F16" \
  --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-4-31B-it-assistant-GGUF

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---
base_model: google/gemma-4-31B-it-assistant
language:
- en
library_name: gguf
license: gemma
tags:
- gguf
- quantized
- mtp
- gemma-4
---

# Gemma 4 31B IT Assistant — MTP GGUF

This repository contains GGUF quantizations of [google/gemma-4-31B-it-assistant](https://huggingface.co/google/gemma-4-31B-it-assistant) to use as MTP.

Do not use with llama.cpp as they do not offer support. This model is only compatible with [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp).

~~Use only with [PR 1744](https://github.com/ikawrakow/ik_llama.cpp/pull/1744), which enables the gemma 4 MTP to work, otherwise you will encounter errors such as the model failing to load.~~
**New:** PR is merged.

## Usage

The assistant is a **draft model** that requires the main Gemma 4 31B target GGUF alongside it.

```bash
./build/bin/llama-server \
  --model google_gemma-4-31B-it-Q8_0.gguf \
  --ctx-size 32768 -ctk q8_0 -ctv q8_0 --n-gpu-layers 99 \
  -b 1024 -ub 1024 --jinja \
  --spec-type mtp -md gemma-4-31B-it-assistant-Q8_0.gguf -ngld 99 \
  --draft-max 3 --draft-p-min 0.0
```

> **Note:** `--draft-max 3` is a good starting point.