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STEVENZHANG904/Qwen3-8B-Meta-SecAlign
Qwen3-8B-Meta-SecAlign is a text generation model from STEVENZHANG904. Use it when you need the model to write or continue text. It is set up for peft.
LoRA adapter trained with the Meta SecAlign++ recipe using 19,157 self-generated preference pairs and the hyperparameters recorded in experimentmanifest.json. Qwen thinking was disabled during data generation and eval…
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From the Hugging Face model README
LoRA adapter trained with the Meta SecAlign++ recipe using 19,157 self-generated
preference pairs and the hyperparameters recorded in experiment_manifest.json.
Qwen thinking was disabled during data generation and evaluation.
| Model | Benign utility | Utility under attack | Attack success rate |
|---|---|---|---|
| Base | 38.14% | 28.98% | 5.48% |
| SecAlign adapter | 38.14% | 34.67% | 1.16% |
Evaluation used important_instructions, repeat_user_prompt, and the input
tool delimiter across all 97 benign and 949 attacked AgentDojo examples.
Source recipe: https://github.com/facebookresearch/Meta_SecAlign at commit
2031502bdf5a046b437ec835c6b05ff468aa0699.