| # OkusUncensored: The Ethical Hacker's Neural Engine |
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| ## 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. |
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| ## Technical Specs |
| - **Base Architecture:** Llama-3 Modified |
| - **Parameters:** 8B |
| - **Context Window:** 8192 tokens |
| - **Specialization:** Exploit research, reverse engineering, payload obfuscation, and red-teaming automation. |
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| ## 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. |
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| ## Implementation |
| Deploy using the provided `handler.py` on Hugging Face Inference Endpoints or local vLLM instances. |
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| python |
| # Example usage |
| # Inputs: "Generate a Python script for a buffer overflow exploit on a Windows x86 target using a JMP ESP instruction." |
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| ## Note: This is just scripts to train and run the AI model (not actual model) |
