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The Hallucinations Leaderboard team uses hierarchical clustering on datasets, metrics, and models to identify performance clusters, specifically grouping models into Mistral 7B-based models, LLaMA 2-based models, and smaller models such as BLOOM 560M and GPT-Neo.

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