---
title: CyberSecQwen-4B · CTI Specialist
emoji: "\U0001F6E1"
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`](https://huggingface.co/spaces/athena129/cybersecqwen-demo) via `@gradio/client`. Cold start ~10–20 s, then warm.

→ Model card: [`athena129/CyberSecQwen-4B`](https://huggingface.co/athena129/CyberSecQwen-4B) · Source: [GitHub](https://github.com/GPT-64590/CyberSecQwen-4B)