expper/mythos-qwen-1.5b-final
Mythos Engine by expper is a 1.5 billion parameter Qwen 2.5 Coder Instruct model, fine-tuned for specialized cybersecurity research, vulnerability analysis, and exploit development. It employs Chain-of-Thought reasoning with self-correction to generate accurate, production-ready security code. This model excels at analyzing CVEs, understanding exploit mechanics, and solving complex security challenges. It is primarily intended for educational and authorized security testing purposes.
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Mythos Engine: Specialized Cybersecurity LLM
Mythos Engine is a highly specialized 1.5 billion parameter language model, fine-tuned by expper from the Qwen 2.5 Coder 1.5B Instruct base. Its core purpose is to assist in cybersecurity research, vulnerability analysis, and exploit development. The model leverages Chain-of-Thought reasoning with self-correction loops and mathematical logic notation to produce accurate, production-ready security code.
Key Capabilities
- Vulnerability Analysis: Explaining CVEs and understanding exploit mechanics.
- Exploit Development: Generating advanced Python exploits, analyzing PHP internals, MyBB exploitation, deserialization chains, and type juggling.
- Security Code Generation: Producing production-ready security code with high reasoning.
- Educational Tool: Ideal for red team education, blue team defense understanding, and CTF training.
Training Details
The model was fine-tuned using QLoRA (4-bit quantization) with Unsloth on a curated dataset of over 1000 examples. This dataset includes:
- 40% PHP Vulnerabilities: Type juggling, deserialization, filter chains.
- 25% MyBB Exploits: Admin CP RCE, SQL injection, XSS.
- 20% Python Exploit Development: C2 frameworks, scanners, injection techniques.
Important Note
This model is strictly for educational and authorized security testing only. It should not be used for unauthorized access or malicious activities.