French MMLU

French version of MMLU-Pro, a multilingual benchmark for evaluating language models' cross-lingual reasoning capabilities across 14 diverse domains including mathematics, physics, chemistry, law, engineering, psychology, and health.

Ministral 8B Instruct from Mistral AI currently leads the French MMLU leaderboard with a score of 0.575 across 1 evaluated AI models.

Paper

Mistral AIMinistral 8B Instruct leads with 57.5%.

Progress Over Time

Interactive timeline showing model performance evolution on French MMLU

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French MMLU Leaderboard

1 models
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FAQ

Common questions about French MMLU.

What is the French MMLU benchmark?

French version of MMLU-Pro, a multilingual benchmark for evaluating language models' cross-lingual reasoning capabilities across 14 diverse domains including mathematics, physics, chemistry, law, engineering, psychology, and health.

What is the French MMLU leaderboard?

The French MMLU leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, Ministral 8B Instruct by Mistral AI leads with a score of 0.575. The average score across all models is 0.575.

What is the highest French MMLU score?

The highest French MMLU score is 0.575, achieved by Ministral 8B Instruct from Mistral AI.

How many models are evaluated on French MMLU?

1 models have been evaluated on the French MMLU benchmark, with 0 verified results and 1 self-reported results.

Where can I find the French MMLU paper?

The French MMLU paper is available at https://arxiv.org/abs/2503.10497. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does French MMLU cover?

French MMLU is categorized under finance, general, healthcare, language, legal, and reasoning. The benchmark evaluates text models with multilingual support.

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