Factual package intelligence from PyPI
A comprehensive framework for evaluating Large Language Models with built-in support for bias, toxicity, relevancy metrics, custom evaluations, conversational test cases, release tracking, and token counting
pip install custom-llm-eval
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.21.0>=2.28.0>=0.19.0>=0.5.0custom-llm-eval publishes 1 wheel and 1 source archive for version 0.1.9. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.
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 .