PolicyShiftGuard-7B

PolicyShiftGuard-7B is a policy-conditioned image guardrail model based on Qwen2.5-VL-7B. It is trained to follow a supplied policy bundle and produce structured image-safety decisions under changing application policies.

Expected Output Format

true | <two-digit risk category id> | <short reason>
false | <short reason>

Training Data

This checkpoint is trained with the PolicyShiftBench public data release:

• Dataset: PolicyShiftBench/PolicyShiftBench
• Main evaluation splits: ID/adaptive branch and OOD/shift branch
• Training stages: randomized policy SFT followed by boundary-pair policy adaptation

Intended Use

Use this model for research on policy-conditioned multimodal safety, adaptive image moderation, and robustness under policy shifts. The model should be evaluated with explicit policy bundles rather than as a fixed universal safety classifier.

Limitations

This is a research checkpoint. It may fail under policies, languages, visual domains, or deployment settings not represented in the benchmark. Outputs should not be treated as legal or compliance advice.