Instructions to use SC117/gemma-4-12B-it-heretic-QAT-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SC117/gemma-4-12B-it-heretic-QAT-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="SC117/gemma-4-12B-it-heretic-QAT-GGUF",
	filename="gemma-4-12B-it-heretic-QAT-UD-Q4_K_XL.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use SC117/gemma-4-12B-it-heretic-QAT-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 SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL

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 SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
./llama-cli -hf SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL

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 SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
./build/bin/llama-cli -hf SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL

Use Docker

docker model run hf.co/SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL

LM Studio
Jan
Ollama
How to use SC117/gemma-4-12B-it-heretic-QAT-GGUF with Ollama:
```
ollama run hf.co/SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL
```

Unsloth Studio

How to use SC117/gemma-4-12B-it-heretic-QAT-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 SC117/gemma-4-12B-it-heretic-QAT-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 SC117/gemma-4-12B-it-heretic-QAT-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for SC117/gemma-4-12B-it-heretic-QAT-GGUF to start chatting

How to use SC117/gemma-4-12B-it-heretic-QAT-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL

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": "SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use SC117/gemma-4-12B-it-heretic-QAT-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 SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL

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 SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use SC117/gemma-4-12B-it-heretic-QAT-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL

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 "SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL" \
  --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 SC117/gemma-4-12B-it-heretic-QAT-GGUF with Docker Model Runner:
```
docker model run hf.co/SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL
```

Lemonade

How to use SC117/gemma-4-12B-it-heretic-QAT-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull SC117/gemma-4-12B-it-heretic-QAT-GGUF:UD-Q4_K_XL

Run and chat with the model

lemonade run user.gemma-4-12B-it-heretic-QAT-GGUF-UD-Q4_K_XL

List all available models

lemonade list

SC117 commited on 17 days ago

Commit

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verified ·

1 Parent(s): 2c2712b

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@@ -41,6 +41,31 @@ language:
     </div>
   </div>
   <div style="border: 1px solid #cbd5e1; border-radius: 12px; overflow: hidden; background: #ffffff; box-shadow: 0 2px 4px rgba(0,0,0,0.02);">
     <div style="background: linear-gradient(135deg, #7c3aed 0%, #a855f7 100%); padding: 12px 16px; color: white; font-weight: 700; font-size: 14px; display: flex; align-items: center; gap: 8px;"><span>✂️</span> Heretic ARA Abliteration Parameters</div>
     <div style="padding: 16px;">

     </div>
   </div>
+  <div style="border: 2px solid #dc2626; border-radius: 12px; overflow: hidden; background: #fef2f2; box-shadow: 0 2px 6px rgba(220,38,38,0.12);">
+    <div style="background: linear-gradient(135deg, #b91c1c 0%, #dc2626 100%); padding: 13px 16px; color: #ffffff; font-weight: 800; font-size: 15px; display: flex; align-items: center; gap: 8px;">
+      <span>⚠️</span> Important Notice: UD-Q4_K_XL and Google QAT
+    </div>
+    <div style="padding: 16px 18px; color: #7f1d1d; font-size: 13px; line-height: 1.75;">
+      <p style="margin: 0 0 10px 0;">
+        <b>UD-Q4_K_XL is the UD team's naming convention for its Gemma QAT Q4_0 GGUF variant.</b>
+        The repository or file name must not be interpreted as proof that the model uses mixed K-quants.
+        In this release, the actual GGUF tensor information shows that the main model weights are stored as
+        <b>Q4_0</b>, while normalization and scaling tensors remain in <b>F32</b>.
+      </p>
+      <p style="margin: 0 0 10px 0;">
+        This model is derived from Google's QAT weights, which were trained for 4-bit quantization.
+        Claims that this file was converted to UD mixed precision, or that its QAT structure was damaged by
+        mixed K-quant remapping, are therefore not supported by the actual tensor types contained in the GGUF.
+      </p>
+      <p style="margin: 0; font-weight: 700;">
+        Before opening a discussion or reporting a quantization issue, please inspect the GGUF metadata and
+        tensor types first. Do not infer the internal quantization layout from the filename alone, and do not
+        make unsupported technical claims without checking the source information.
+      </p>
+    </div>
+  </div>
   <div style="border: 1px solid #cbd5e1; border-radius: 12px; overflow: hidden; background: #ffffff; box-shadow: 0 2px 4px rgba(0,0,0,0.02);">
     <div style="background: linear-gradient(135deg, #7c3aed 0%, #a855f7 100%); padding: 12px 16px; color: white; font-weight: 700; font-size: 14px; display: flex; align-items: center; gap: 8px;"><span>✂️</span> Heretic ARA Abliteration Parameters</div>
     <div style="padding: 16px;">