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truthtorchlm


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Author: Yavuz Faruk Bakman
Summary: TruthTorchLM is an open-source library designed to assess truthfulness in language models' outputs. The library integrates state-of-the-art methods, offers comprehensive benchmarking tools across various tasks, and enables seamless integration with popular frameworks like Huggingface and LiteLLM.
Latest version: 0.1.19
Required dependencies: absl-py | accelerate | aiohttp | evaluate | instructor | litellm | nest_asyncio | nltk | numpy | outlines | pandas | pydantic | pyyaml | requests | rouge_score | scikit_learn | scipy | sentence_transformers | sentencepiece | termcolor | torch | tqdm | transformers | wandb

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