Instructions to use Frankenstein-Labs/Cortex.0 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 Frankenstein-Labs/Cortex.0 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 Frankenstein-Labs/Cortex.0:Q8_0 # Run inference directly in the terminal: llama cli -hf Frankenstein-Labs/Cortex.0:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Frankenstein-Labs/Cortex.0:Q8_0 # Run inference directly in the terminal: llama cli -hf Frankenstein-Labs/Cortex.0:Q8_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 Frankenstein-Labs/Cortex.0:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf Frankenstein-Labs/Cortex.0:Q8_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 Frankenstein-Labs/Cortex.0:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Frankenstein-Labs/Cortex.0:Q8_0
Use Docker
docker model run hf.co/Frankenstein-Labs/Cortex.0:Q8_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use Frankenstein-Labs/Cortex.0 with Ollama:
ollama run hf.co/Frankenstein-Labs/Cortex.0:Q8_0
- Unsloth Desktop
- Pi
How to use Frankenstein-Labs/Cortex.0 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Frankenstein-Labs/Cortex.0:Q8_0
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": "Frankenstein-Labs/Cortex.0:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Frankenstein-Labs/Cortex.0 with Docker Model Runner:
docker model run hf.co/Frankenstein-Labs/Cortex.0:Q8_0
- Lemonade
How to use Frankenstein-Labs/Cortex.0 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Frankenstein-Labs/Cortex.0:Q8_0
Run and chat with the model
lemonade run user.Cortex.0-Q8_0
List all available models
lemonade list
- Hermes Agent
How to use Frankenstein-Labs/Cortex.0 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Frankenstein-Labs/Cortex.0:Q8_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 Frankenstein-Labs/Cortex.0:Q8_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Frankenstein-Labs/Cortex.0 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Frankenstein-Labs/Cortex.0:Q8_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 "Frankenstein-Labs/Cortex.0:Q8_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"
Download cortex0/cli.py from Frankenstein-Labs/Cortex.0: direct link, hf CLI and curl.
- Browser
- Download file 1.9 kB
-
https://huggingface.co/Frankenstein-Labs/Cortex.0/resolve/main/cortex0/cli.py
- Command line
-
hf download hf://Frankenstein-Labs/Cortex.0/cortex0/cli.py
-
curl -L -o cli.py https://huggingface.co/Frankenstein-Labs/Cortex.0/resolve/main/cortex0/cli.py
1.9 kB
| """Command line entry point for the fused Cortex.0 agent.""" | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| import logging | |
| import sys | |
| from cortex0.fusion import Cortex0Agent | |
| from cortex0.settings import Cortex0Settings | |
| def main(argv: list[str] | None = None) -> int: | |
| parser = argparse.ArgumentParser( | |
| prog="cortex0", | |
| description="Run the OpenHands agent whose reasoning engine is Cortex.0.", | |
| ) | |
| parser.add_argument("task", nargs="?", help="task to run") | |
| parser.add_argument("--config", help="path to a YAML config file") | |
| parser.add_argument("--workspace", help="sandbox directory for the agent") | |
| parser.add_argument("--base-url", help="Cortex.0 inference endpoint") | |
| parser.add_argument("--model", help="model name the endpoint exposes") | |
| parser.add_argument( | |
| "--check", | |
| action="store_true", | |
| help="probe the inference server and exit", | |
| ) | |
| parser.add_argument("-v", "--verbose", action="store_true") | |
| args = parser.parse_args(argv) | |
| logging.basicConfig( | |
| level=logging.DEBUG if args.verbose else logging.INFO, | |
| format="%(levelname)s %(name)s: %(message)s", | |
| ) | |
| settings = Cortex0Settings.load(args.config) | |
| if args.base_url: | |
| settings.base_url = args.base_url | |
| if args.model: | |
| settings.served_model_name = args.model | |
| settings.model = f"openai/{args.model}" | |
| try: | |
| agent = Cortex0Agent(settings=settings, verify=True) | |
| except RuntimeError as exc: | |
| print(f"error: {exc}", file=sys.stderr) | |
| return 2 | |
| print(json.dumps(agent.summary(), indent=2, ensure_ascii=False)) | |
| if args.check: | |
| return 0 | |
| if not args.task: | |
| parser.error("provide a task, or use --check to only probe the server") | |
| agent.run(args.task, workspace=args.workspace) | |
| return 0 | |
| if __name__ == "__main__": | |
| sys.exit(main()) | |