New Cyber-OSINT model released
A new open-source AI model called REDCELL-26B has been released, specifically fine-tuned for cyber threat intelligence and OSINT tasks. It features a 262K context window and is designed to run locally on consumer hardware for investigative security work.
Why it matters
This provides security researchers with a powerful, privacy-focused tool for threat attribution and geolocation without relying on cloud-based AI services.
Md Ismail Šojal 🕷️ on X: "The Cyber-OSINT model that You can run locally.
- MoE (26B total, 4B active, 262K ctx) trained on 6,500 OSINT/CTI instructions. - SFT for cyber threat intel and investigative work. - Threat-actor attribution. - IoC pivoting. Geolocation. - Admiralty source grading. - … / X
- MoE (26B total, 4B active, 262K ctx) trained on 6,500 OSINT/CTI instructions. - SFT for cyber threat intel and investigative work. - Threat-actor attribution. - IoC pivoting. Geolocation. - Admiralty source grading. - 262K context."
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