CyberSecQwen-4B: Why Defensive Cyber Needs Small, Specialized, Locally-Runnable Models

CyberSecQwen-4B is a 4B specialized model for local, private cybersecurity analysis, built to overcome limitations of frontier models in security operations.

• •Frontier models are unsuitable: expensive per-call APIs, require uploading sensitive breach/malware data, don't work in air-gapped environments
• •CyberSecQwen-4B outperforms the 8B Cisco Foundation-Sec-Instruct model on CTI-MCQ benchmarks (+8.7pp) while fitting on 12GB consumer GPUs
• •Trained on AMD MI300X using CVE→CWE data with LoRA recipe; hyperparameters generalize to other hardware and base models
• •Validated use cases: CWE classification, CTI Q&A, defensive analyst triage support

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