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Instructions to use ReadyArt/Omega-Arsenal-31B-Final-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use ReadyArt/Omega-Arsenal-31B-Final-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 ReadyArt/Omega-Arsenal-31B-Final-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ReadyArt/Omega-Arsenal-31B-Final-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ReadyArt/Omega-Arsenal-31B-Final-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ReadyArt/Omega-Arsenal-31B-Final-GGUF:Q4_K_M

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 ReadyArt/Omega-Arsenal-31B-Final-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf ReadyArt/Omega-Arsenal-31B-Final-GGUF:Q4_K_M

Use Docker

docker model run hf.co/ReadyArt/Omega-Arsenal-31B-Final-GGUF:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use ReadyArt/Omega-Arsenal-31B-Final-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ReadyArt/Omega-Arsenal-31B-Final-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": "ReadyArt/Omega-Arsenal-31B-Final-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ReadyArt/Omega-Arsenal-31B-Final-GGUF:Q4_K_M

Ollama
How to use ReadyArt/Omega-Arsenal-31B-Final-GGUF with Ollama:
```
ollama run hf.co/ReadyArt/Omega-Arsenal-31B-Final-GGUF:Q4_K_M
```
Unsloth Desktop

How to use ReadyArt/Omega-Arsenal-31B-Final-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ReadyArt/Omega-Arsenal-31B-Final-GGUF: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": "ReadyArt/Omega-Arsenal-31B-Final-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use ReadyArt/Omega-Arsenal-31B-Final-GGUF with Docker Model Runner:
```
docker model run hf.co/ReadyArt/Omega-Arsenal-31B-Final-GGUF:Q4_K_M
```

Lemonade

How to use ReadyArt/Omega-Arsenal-31B-Final-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ReadyArt/Omega-Arsenal-31B-Final-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Omega-Arsenal-31B-Final-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use ReadyArt/Omega-Arsenal-31B-Final-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 ReadyArt/Omega-Arsenal-31B-Final-GGUF: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 ReadyArt/Omega-Arsenal-31B-Final-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use ReadyArt/Omega-Arsenal-31B-Final-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ReadyArt/Omega-Arsenal-31B-Final-GGUF: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 "ReadyArt/Omega-Arsenal-31B-Final-GGUF: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"

✨ Model Specifications

📚

Dataset

Wicked Tutu & Dark Scarlett & For Her Darkside & Melody1437

🖤

Focus

Dark

🔄

Epochs

⚡

LoRA Rank

128

📝

Prompts

33957

⛓️

Kink List

6,000+

⚙️ Sampler Presets

Temperature

1.0

Top-P

0.92

🚀 Capabilities & Expectations

Omega Arsenal 31B is a specialized instrument for high-intensity roleplay, now incorporating the refined narrative logic of Wicked Tutu. It is designed to push boundaries and embrace the darker side of storytelling with a strict focus on immersive dynamics.

✅ Unfiltered Explicit Prose
✅ Complex Power Dynamics
✅ Dark Psychological Themes
✅ High-Fidelity Kink Accuracy
✅ Clean Output (No Markdown/Asterisks)
✅ Group Chat Support
✅ Unaligned & Uncensored (RP)

🛠️ Prompting Guide

Since this is a smut tune and not a general-purpose decensored model, it requires a strong Roleplay (RP) framework to activate its full potential. Use a detailed system prompt to set the scene.

💡 Tip: The more descriptive your initial prompt, the more 'wicked' the output will be.

💡 Usage Tip

For best results, please use Chat Completion and not Text Completion.

🧑‍🔬 The Architects

FrenzyBiscuit (Lead/Tuner)
GECFDO (Generation)
Nimbz (Generation(Wicked Tutu))
Ambius (Visuals(Model card image))
Kurgan1138 (Prompts(Wicked Tutu))
Karki (Template)

🔖 Legal Agreement

Accept full responsibility for all generated content.
You must be 18+ years old.
Architects bear no responsibility for your corruption.
Personal use only (non-profit/non-commercial).

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GGUF

Model size

31B params

Architecture

gemma4

Hardware compatibility

2-bit

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View +1 variant

Model tree for ReadyArt/Omega-Arsenal-31B-Final-GGUF

Base model

ReadyArt/gemma-4-31B-it-scotoma-2

Finetuned

ReadyArt/Omega-Arsenal-31B-Final

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Omega Arsenal Series

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3 items • Updated 8 days ago • 2