LYNX ALPHA is a 9B-parameter language model built for offensive security work: red teaming, penetration testing, OSINT collection, malware analysis, and exploit development. It answers the questions general-purpose assistants decline. On a fixed set of twelve harmful requests it refuses 5 where its base model refuses 8, a 37% reduction, and it does that while scoring at or above its base on every capability benchmark we ran. It ships as a 5.63 GB quantized build that runs on a 6 GB GPU or a laptop CPU. — Red teaming and adversary emulation. Payload development, evasion reasoning, lateral movement planning against infrastructure you own. — Penetration testing. Reconnaissance, service enumeration, privilege escalation paths, post-exploitation on authorized targets. — OSINT. Entity correlation, infrastructure pivoting, attribution reasoning from public sources. — Malware analysis. Static and dynamic triage, unpacking logic, behavioral inference, and writing detection rules from what the sample actually does. — Exploit development. Memory corruption mechanics, mitigations and their bypasses, primitive construction. The model is uncensored at the base level, and we pushed it further in…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: alphalabz
Теги: qwen3_5, image-text-to-text, security, cybersecurity, offensive-security, red-teaming, penetration-testing, osint
Лайков: 3 | Загрузок: 167
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
