Instructions to use Urbanwarrior79/omnigenesis-operator-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 Urbanwarrior79/omnigenesis-operator-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 Urbanwarrior79/omnigenesis-operator-gguf
# Run inference directly in the terminal:
llama cli -hf Urbanwarrior79/omnigenesis-operator-gguf

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Urbanwarrior79/omnigenesis-operator-gguf
# Run inference directly in the terminal:
llama cli -hf Urbanwarrior79/omnigenesis-operator-gguf

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 Urbanwarrior79/omnigenesis-operator-gguf
# Run inference directly in the terminal:
./build/bin/llama cli -hf Urbanwarrior79/omnigenesis-operator-gguf

Use Docker

docker model run hf.co/Urbanwarrior79/omnigenesis-operator-gguf

Llama new
LM Studio
Jan

vLLM

How to use Urbanwarrior79/omnigenesis-operator-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Urbanwarrior79/omnigenesis-operator-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": "Urbanwarrior79/omnigenesis-operator-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Urbanwarrior79/omnigenesis-operator-gguf

Ollama
How to use Urbanwarrior79/omnigenesis-operator-gguf with Ollama:
```
ollama run hf.co/Urbanwarrior79/omnigenesis-operator-gguf
```
Unsloth Desktop

How to use Urbanwarrior79/omnigenesis-operator-gguf with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Urbanwarrior79/omnigenesis-operator-gguf

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": "Urbanwarrior79/omnigenesis-operator-gguf"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Urbanwarrior79/omnigenesis-operator-gguf with Docker Model Runner:
```
docker model run hf.co/Urbanwarrior79/omnigenesis-operator-gguf
```

Lemonade

How to use Urbanwarrior79/omnigenesis-operator-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Urbanwarrior79/omnigenesis-operator-gguf

Run and chat with the model

lemonade run user.omnigenesis-operator-gguf-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use Urbanwarrior79/omnigenesis-operator-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 Urbanwarrior79/omnigenesis-operator-gguf

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 Urbanwarrior79/omnigenesis-operator-gguf

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Urbanwarrior79/omnigenesis-operator-gguf with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Urbanwarrior79/omnigenesis-operator-gguf

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 "Urbanwarrior79/omnigenesis-operator-gguf" \
  --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"

omni-manifest-coder

Public GGUF export for the Omnigenesis operator specialist.

Role

Emits one bounded, side-effect-free Python mathematical operator with no prose.

Intended use

This file is intended for local inference in GGUF-compatible runtimes such as llama.cpp, LM Studio, or Android GGUF applications. It is an inference artifact, not a base checkpoint for conventional full-parameter fine-tuning.

Prompt and runtime configuration

The original Ollama Modelfile and system behavior are maintained in the Omnigenesis deployment repository. Users should apply the matching system prompt and runtime parameters when reproducing the specialist behavior.

Limitations

Outputs are model-generated and require validation. Do not treat self-reported confidence, analogies, or generated formal artifacts as proof without independent checking.

Training note

This GGUF export can be used to generate synthetic examples, but training should normally use the original base model or a compatible higher-precision checkpoint with a separately reviewed dataset. Do not train on private prompts, credentials, personal data, or unreviewed model outputs.

License

The license for the underlying base model and this export must be reviewed before redistribution or commercial use.

Downloads last month: -

GGUF

Model size

3B params

Architecture

qwen2

Hardware compatibility

We're not able to determine the quantization variants.

View all variants