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Jiang and colleagues: Mixtral 8x7B sparse mixture-of-experts model

Contribution grade

Mixture-of-experts language models · Human-designed AI research method or resource

Reference score18,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Released and evaluated Mixtral 8x7B, routing each token through two of eight feed-forward experts per layer with a reduced active-parameter count.

Scientific scope

Released and evaluated Mixtral 8x7B, routing each token through two of eight feed-forward experts per layer with a reduced active-parameter count. Scope limitation: The company announced the model in December 2023; this record uses the January 2024 paper year. Reported benchmark comparisons are setup-specific.

Evidence

The retained primary-source abstract, bibliographic record and stated review scope support this provisional assessment. No independent experimental replication by WRS is claimed. The company announced the model in December 2023; this record uses the January 2024 paper year. Reported benchmark comparisons are setup-specific.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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