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 tests/test_fusion.py from Frankenstein-Labs/Cortex.0: direct link, hf CLI and curl.
- Browser
- Download file 2.16 kB
-
https://huggingface.co/Frankenstein-Labs/Cortex.0/resolve/main/tests/test_fusion.py
- Command line
-
hf download hf://Frankenstein-Labs/Cortex.0/tests/test_fusion.py
-
curl -L -o test_fusion.py https://huggingface.co/Frankenstein-Labs/Cortex.0/resolve/main/tests/test_fusion.py
2.16 kB
| """End-to-end validation: Cortex.0 driving the real OpenHands agent loop.""" | |
| from __future__ import annotations | |
| import os | |
| import sys | |
| import tempfile | |
| sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) | |
| from tests.fake_server import start # noqa: E402 | |
| def main() -> int: | |
| from cortex0.fusion import Cortex0Agent | |
| from cortex0.settings import Cortex0Settings | |
| server, base_url = start() | |
| print(f"[1] Cortex.0 endpoint up at {base_url}") | |
| settings = Cortex0Settings.load() | |
| settings.base_url = base_url | |
| settings.timeout = 60.0 | |
| # --- probe ------------------------------------------------------------- | |
| from cortex0.health import probe_server | |
| probe = probe_server(base_url, model="cortex0") | |
| assert probe.reachable, f"not reachable: {probe.detail}" | |
| assert probe.chat_ok, f"chat failed: {probe.detail}" | |
| assert probe.tool_calling_ok, f"no tool call: {probe.detail}" | |
| print(f"[2] probe ok (latency {probe.latency_s}s, models {probe.models})") | |
| # --- agent construction ------------------------------------------------ | |
| agent = Cortex0Agent(settings=settings, verify=True) | |
| summary = agent.summary() | |
| assert summary["tool_calling_ok"], summary | |
| print(f"[3] agent built with tools {summary['tools']}") | |
| # --- real agent loop --------------------------------------------------- | |
| with tempfile.TemporaryDirectory() as workdir: | |
| conversation = agent.run("Say hello.", workspace=workdir) | |
| events = list(conversation.state.events) | |
| kinds = [type(e).__name__ for e in events] | |
| print(f"[4] conversation ran: {len(events)} events") | |
| for k in sorted(set(kinds)): | |
| print(f" {k}: {kinds.count(k)}") | |
| assert any("Action" in k for k in kinds), "no action was executed" | |
| assert any("Observation" in k for k in kinds), "no observation returned" | |
| assert any("Message" in k for k in kinds), "no message produced" | |
| print("[5] action-perception loop confirmed") | |
| server.shutdown() | |
| print("\nRESULT: fusion validated end to end") | |
| return 0 | |
| if __name__ == "__main__": | |
| sys.exit(main()) | |