# OkusUncensored: The Ethical Hacker's Neural Engine

## Overview
OkusUncensored is a state-of-the-art Transformer model fine-tuned for the cybersecurity domain. Unlike standard LLMs, it is stripped of common RLHF refusals that impede technical security research. 

## Technical Specs
- **Base Architecture:** Llama-3 Modified
- **Parameters:** 8B
- **Context Window:** 8192 tokens
- **Specialization:** Exploit research, reverse engineering, payload obfuscation, and red-teaming automation.

## Usage Disclaimer
This model is intended for authorized penetration testing and educational purposes only. The user is responsible for ensuring all activities comply with local and international laws. 

## Implementation
Deploy using the provided `handler.py` on Hugging Face Inference Endpoints or local vLLM instances.

python
# Example usage
# Inputs: "Generate a Python script for a buffer overflow exploit on a Windows x86 target using a JMP ESP instruction."

## Note: This is just scripts to train and run the AI model (not actual model)