PolicyShiftGuard-7B-RP-SFT
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This repository releases the Stage-1 Randomized Policy SFT (RP-SFT) checkpoint for the 7B PolicyShiftGuard model.
RP-SFT is the first training stage in PolicyShiftGuard. It trains a Qwen2.5-VL guardrail model to read policy bundles under randomized policy identifiers and randomized policy ordering. This checkpoint is provided for reproducibility and ablation use. The final public model after the second-stage adaptation is available at PolicyShiftGuard/PolicyShiftGuard-7B.
Intended Use
Use this checkpoint when you want to reproduce the two-stage training pipeline or compare Stage-1 RP-SFT against the final BP-Adapt model.
For standard evaluation or deployment, use the final model instead:
Dataset
The model is trained with PolicyShiftBench supervision:
Notes
- This is an intermediate checkpoint, not the final model reported as the main PolicyShiftGuard model.
- This checkpoint corresponds to the randomized-policy no-think Stage-1 SFT setting.
- Training-state files such as optimizer states are intentionally not included.
Citation
If you find this work helpful, please cite the paper:
@article{song2026policyshiftguard,
title = {PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails},
author = {Song, Mingyang and Xu, Luxin and Sun, Haoyu and Pan, Minzhou and Cheng, Yu and Li, Bo},
journal = {arXiv preprint arXiv:2607.05910},
year = {2026}
}