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A comprehensive AI redteaming framework for testing small language models across multiple safety and alignment dimensions, including deceptive alignment detection, evaluation awareness testing, data exfiltration prevention, and meta-cognition analysis with statistical significanc
pip install small-model-redteaming
PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.19.0>=0.4.9.1>=1.101.0>=2.25.0>=1.21.0>=1.3.0>=1.7.0>=1.0.0The compact report shows 25 of 26 declarations. The interactive dependency graph loads the complete metadata.
small-model-redteaming publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .