README.md

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."