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

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

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"

Cortex.0 / scripts /serve_llamacpp.sh

Frankenstein-Labs

initial commit

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#!/usr/bin/env bash
# Serve Cortex.0 with llama.cpp on an OpenAI-compatible endpoint.
#
# Usage: ./scripts/serve_llamacpp.sh [model.gguf] [port]
set -euo pipefail

MODEL="${1:-Cortex.0-Q8_0.gguf}"
PORT="${2:-8080}"

if ! command -v llama-server >/dev/null 2>&1; then
  echo "llama-server not found. Build llama.cpp: https://github.com/ggml-org/llama.cpp" >&2
  exit 1
fi

if [ ! -f "$MODEL" ]; then
  echo "Model file '$MODEL' not found." >&2
  echo "Download it: hf download Frankenstein-Labs/Cortex.0 Cortex.0-Q8_0.gguf" >&2
  exit 1
fi

# --jinja makes llama.cpp apply the model's own chat template, which is what
# carries the tool-call protocol Flint was trained with.
exec llama-server \
  --model "$MODEL" \
  --port "$PORT" \
  --ctx-size 32768 \
  --n-gpu-layers 999 \
  --jinja \
  --host 127.0.0.1

	#!/usr/bin/env bash
	# Serve Cortex.0 with llama.cpp on an OpenAI-compatible endpoint.
	#
	# Usage: ./scripts/serve_llamacpp.sh [model.gguf] [port]
	set -euo pipefail

	MODEL="${1:-Cortex.0-Q8_0.gguf}"
	PORT="${2:-8080}"

	if ! command -v llama-server >/dev/null 2>&1; then
	echo "llama-server not found. Build llama.cpp: https://github.com/ggml-org/llama.cpp" >&2
	exit 1
	fi

	if [ ! -f "$MODEL" ]; then
	echo "Model file '$MODEL' not found." >&2
	echo "Download it: hf download Frankenstein-Labs/Cortex.0 Cortex.0-Q8_0.gguf" >&2
	exit 1
	fi

	# --jinja makes llama.cpp apply the model's own chat template, which is what
	# carries the tool-call protocol Flint was trained with.
	exec llama-server \
	--model "$MODEL" \
	--port "$PORT" \
	--ctx-size 32768 \
	--n-gpu-layers 999 \
	--jinja \
	--host 127.0.0.1