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"
File size: 1,900 Bytes
c429240 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | """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())
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