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Author:
None
Summary:
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 significance testing.
Latest version:
0.1.0
Required dependencies:
asyncio-throttle
|
lm-eval
|
numpy
|
openai
|
pandas
|
python-dotenv
|
requests
|
scipy
Optional dependencies:
black
|
coverage
|
flake8
|
isort
|
matplotlib
|
mypy
|
myst-parser
|
plotly
|
pre-commit
|
pytest
|
pytest-asyncio
|
pytest-cov
|
seaborn
|
small-model-redteaming
|
sphinx
|
sphinx-rtd-theme
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