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/settings.py from Frankenstein-Labs/Cortex.0: direct link, hf CLI and curl.
- Browser
- Download file 3.43 kB
-
https://huggingface.co/Frankenstein-Labs/Cortex.0/resolve/main/cortex0/settings.py
- Command line
-
hf download hf://Frankenstein-Labs/Cortex.0/cortex0/settings.py
-
curl -L -o settings.py https://huggingface.co/Frankenstein-Labs/Cortex.0/resolve/main/cortex0/settings.py
3.43 kB
| """Configuration for the Cortex.0 / OpenHands fusion.""" | |
| from __future__ import annotations | |
| import os | |
| from dataclasses import dataclass, field | |
| from pathlib import Path | |
| import yaml | |
| DEFAULT_SYSTEM_PROMPT = Path(__file__).resolve().parent.parent / "prompts" / "cortex0_system.txt" | |
| class Cortex0Settings: | |
| """Everything needed to reach Cortex.0 and configure the agent.""" | |
| # --- inference endpoint ------------------------------------------------- | |
| base_url: str = "http://127.0.0.1:8080/v1" | |
| api_key: str = "cortex0-local" | |
| # Name the endpoint actually serves. | |
| served_model_name: str = "cortex0" | |
| # litellm routes by provider prefix; any OpenAI-compatible server is | |
| # reached through the "openai/" prefix plus an explicit base_url. | |
| model: str = "openai/cortex0" | |
| # --- generation --------------------------------------------------------- | |
| max_output_tokens: int = 32768 | |
| temperature: float = 1.0 | |
| top_p: float = 0.95 | |
| top_k: int = 20 | |
| context_window: int = 262144 | |
| # --- robustness --------------------------------------------------------- | |
| num_retries: int = 5 | |
| timeout: float = 600.0 | |
| native_tool_calling: bool = True | |
| # --- agent -------------------------------------------------------------- | |
| tools: list[str] = field( | |
| default_factory=lambda: [ | |
| "terminal", | |
| "file_editor", | |
| "task_tracker", | |
| "glob", | |
| "grep", | |
| ] | |
| ) | |
| max_iterations_per_run: int = 500 | |
| condenser_max_size: int = 240 | |
| system_prompt_path: str = str(DEFAULT_SYSTEM_PROMPT) | |
| workspace: str = "workspace/project" | |
| def load(cls, path: str | Path | None = None) -> "Cortex0Settings": | |
| """Load settings from YAML, then let environment variables win. | |
| Precedence: defaults < YAML file < CORTEX0_* environment variables. | |
| """ | |
| data: dict = {} | |
| candidate = Path(path) if path else Path("configs/cortex0.yaml") | |
| if candidate.is_file(): | |
| loaded = yaml.safe_load(candidate.read_text(encoding="utf-8")) or {} | |
| if not isinstance(loaded, dict): | |
| raise ValueError(f"{candidate} must contain a YAML mapping") | |
| data = loaded | |
| for key in cls.__dataclass_fields__: | |
| env_key = f"CORTEX0_{key.upper()}" | |
| if env_key in os.environ: | |
| raw = os.environ[env_key] | |
| data[key] = _coerce(raw, cls.__dataclass_fields__[key].default) | |
| known = {k: v for k, v in data.items() if k in cls.__dataclass_fields__} | |
| return cls(**known) | |
| def system_prompt(self) -> str: | |
| path = Path(self.system_prompt_path) | |
| if not path.is_file(): | |
| raise FileNotFoundError( | |
| f"System prompt not found: {path}. Set system_prompt_path or create the file." | |
| ) | |
| return path.read_text(encoding="utf-8") | |
| def _coerce(raw: str, default: object) -> object: | |
| """Turn an environment string into the type of the dataclass default.""" | |
| if isinstance(default, bool): | |
| return raw.strip().lower() in {"1", "true", "yes", "on"} | |
| if isinstance(default, int) and not isinstance(default, bool): | |
| return int(raw) | |
| if isinstance(default, float): | |
| return float(raw) | |
| if isinstance(default, list): | |
| return [item.strip() for item in raw.split(",") if item.strip()] | |
| return raw | |