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external benchmark
MMLU (Kaggle benchmark v1). Every model the catalog carries a published MMLU (Kaggle) value for, ranked by that value.
Kaggle's run of the original 57-subject MMLU, separate from provider-reported MMLU rows.
The benchmark is defined by Measuring Massive Multitask Language Understanding, but the catalog carries no value for it yet. An absent value is shown as absent here rather than as a zero.
What the benchmark measures and how its value is published, from the source’s own record.
MMLU (Kaggle) (MMLU (Kaggle benchmark v1)) is an external benchmark published by Measuring Massive Multitask Language Understanding. Kaggle's run of the original 57-subject MMLU, separate from provider-reported MMLU rows. Its evaluation set is described by the source as four-option multiple-choice questions across 57 subjects; task version 7.
Each model's result is published by Measuring Massive Multitask Language Understanding as accuracy (%). ModelScale prints that value to 1 decimal place, exactly as published, and never converts or rescales it. This page ranks the 0 models that carry a published value, highest value first; a model the source never scored is left out rather than ranked at zero. The source does not state whether a higher value is the better result, so neither does this page.