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security-8b

bebrws

An 8B cybersecurity agent (offense + defense) fine-tuned from `Qwen/Qwen3-8B` on **2197 verified agentic + Q&A traces**, distilled from GLM-5.2 (round 4) and Kimi K3/K2.6 (rounds 1–3). Trained to operate an autonomous security harness — plan, run bash, read observations, write files, finish — not just answer security questions. Pipeline per iteration: failure analysis on eval traces → parameterized, decontaminated seed factory → teacher best-of-3 rejection-sampled agentic transcripts (judged + artifact-checked) → full-FT SFT → multi-run attack/defend eval → next round. Run-to-run variance is significant at temperature 0.7; single-run scores are not meaningful for this suite. Known v4 gap: `atk-sqli` — the model prefers to start the staged vulnerable app and fuzz it over HTTP instead of reading the offline artifacts (trace-verified behavioral prior, targeted in round 5).

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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security-8b

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