The MoE strategy: 128 compact specialists to reduce operational expenses. The structural decisions within the 26B A4B model warrant special consideration from teams analyzing inference economics. Instead of mimicking recent large MoE designs employing few substantial experts, Google implemented 128 miniature experts, engaging eight per token alongside one constantly active shared expert. The outcome is a system that performs comparably to standard models in the 27–31 billion range while operating at approximately the velocity of a 4-billion model during inference.
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One of the best under-the-radar portal acquisitions a year ago (from Georgia Tech), Carnegie was named first-team all-SEC, averaging 17.8 points per game, and helped the Lady Dogs to their best season in eight years. An even better scorer than she was with the Yellow Jackets, Carnegie is a shot creator, for herself or teammates, and can handle the responsibility of being a No. 1 option.
Linpeng Huang, Shanghai Jiao Tong University
All commands accommodate --pretty for structured JSON output.