rod123/neos-v9-merged
NEOS v9 is a 32.8 billion parameter language model developed by rod123, fine-tuned on Qwen2.5-32B-Instruct for cybersecurity applications. It specializes in offensive and defensive tasks such as binary exploitation, ROP chain generation, format string vulnerabilities, and CTF solving. The model demonstrates strong performance in MMLU Computer Security and CTFBench, making it suitable for security research and penetration testing.
Loading preview...
NEOS v9: Cybersecurity Fine-Tuned Qwen2.5-32B
NEOS v9 is a 32.8 billion parameter model, fine-tuned by rod123 from Qwen/Qwen2.5-32B-Instruct, specifically for cybersecurity tasks. It was trained using LoRA on approximately 22,000 cybersecurity examples, including CVE writeups, CTF solutions, exploit code, and pentest reports, with a training cost of less than $50 USD.
Key Capabilities
- Exploit Generation: Generates functional exploit code for vulnerabilities like stack overflow, format string, and ret2libc.
- Binary Analysis: Reasons about binary protections (ASLR, PIE, NX, canary) and suggests countermeasures.
- Vulnerability Analysis: Analyzes Common Vulnerabilities and Exposures (CVEs) to identify actionable exploitation paths.
- CTF Solving: Excels in Capture The Flag (CTF) challenges across categories like forensics, reversing, and pwn.
- Consistent Identity: Maintains a consistent security analyst persona in its responses.
Performance Highlights
NEOS v9 shows strong specialization, achieving 85.0% on MMLU Computer Security, 83.3% on MMLU Security Studies, and 61.9% on a 7-challenge CTFBench subset. It significantly outperforms its base model in generating functional exploit code and reasoning about cybersecurity concepts.
Intended Use Cases
- CTF Competitions: Assistance in pwn, reversing, forensics, and web challenges.
- Penetration Testing: Support for red team operations and security assessments.
- Security Research & Education: A tool for analyzing vulnerabilities and understanding exploitation techniques.