Instructions to use igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-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 igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-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 igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-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 igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-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 igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0

Use Docker

docker model run hf.co/igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0

LM Studio
Jan

vLLM

How to use igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0

Ollama
How to use igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF with Ollama:
```
ollama run hf.co/igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0
```

Unsloth Studio

How to use igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF to start chatting

How to use igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

OpenClaw new

How to use igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0

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 "igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0" \
  --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"

Docker Model Runner
How to use igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF with Docker Model Runner:
```
docker model run hf.co/igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0
```

Lemonade

How to use igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0

Run and chat with the model

lemonade run user.gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF-Q4_0

List all available models

lemonade list

Hermes Agent

How to use igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-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 igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0

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 igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0

Run Hermes

hermes

Atomic Chat

Gemma 4 E4B (QAT-Q4_0 unquantized) — Heretic decensored — GGUF

GGUF quantizations of igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic, a chain-of-thought-aware decensored ("abliterated") version of Google's Gemma 4 E4B QAT-Q4_0 checkpoint, produced with Heretic (Arbitrary-Rank Ablation, LoRA variant).

Quant	Size	Notes
`Q4_0`	4.8 GB	Recommended. QAT-matched 4-bit
`Q8_0`	7.4 GB	Near-lossless

Gemma 4 is a thinking model; this build is abliterated/evaluated with thinking enabled so it decensors the final answer the way the model is actually run.

Run

ollama run hf.co/igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0

llama-cli -hf igorls/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-GGUF:Q4_0

Requires a llama.cpp / Ollama build with Gemma 4 (gemma4) support.

Disclaimer

This is an abliterated model: its built-in safety guardrails and refusal behavior have been deliberately removed. It will attempt to answer essentially any prompt and can produce content that is offensive, inaccurate, explicit, or otherwise harmful — content the original Gemma 4 would have refused.

No safety alignment. Apply your own filtering, guardrails, and human review before any production or user-facing use.
You are solely responsible for how you use this model and for complying with all applicable laws and with the base model's Gemma 4 license (Apache 2.0).
Intended for adults (18+), for research, evaluation, and lawful creative use where permitted.
Provided as-is, without warranty of any kind.