Buckets:
| # 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." |
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