metadata
title: CyberSecQwen-4B · CTI Specialist
emoji: 🛡
colorFrom: blue
colorTo: gray
sdk: static
pinned: false
license: apache-2.0
short_description: Beating an 8B Cisco specialist at half the size
hf_oauth: true
hf_oauth_expiration_minutes: 480
CyberSecQwen-4B
A 4B-parameter Qwen3 fine-tune specialized for cyber threat intelligence — CWE classification, CVE-to-CWE mapping, code-pattern reasoning. Trained on a single AMD Instinct MI300X.
| Benchmark | Score (n=5, temp 0.3) | vs. Foundation-Sec-Instruct-8B |
|---|---|---|
| CTI-RCM | 0.6664 ± 0.0023 | -1.9 pp at half the size |
| CTI-MCQ | 0.5868 ± 0.0029 | +8.7 pp at half the size |
This Space is the polished chat UI. It calls the ZeroGPU backend athena129/cybersecqwen-demo via @gradio/client. Cold start ~10–20 s, then warm.
→ Model card: athena129/CyberSecQwen-4B · Source: GitHub