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Sakana AI rebuilds Fugu's conductor model on Gemma 4, matching the Qwen version

Sakana AI rebuilds Fugu's conductor model on Gemma 4, matching the Qwen version

Sakana AI retrained Sakana Fugu's conductor — the small model that routes requests to a pool of frontier models — on Gemma 4 E2B, and reports accuracy and cost reduction on par with the existing Qwen-based conductor across held-out knowledge, code, and graduate-level science question sets. The swap shows the orchestration layer is modular too, not the model pool alone, clearing the way for conductors trained on domestically pre-trained Japanese base models so customers with sovereignty requirements can keep reaching top international models through the pool.

Source: sakana.ai

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指揮者モデル自身のベースモデルの多様性はこれまで担保できていませんでした。

Sakana AI

Why this matters

  • → Proves orchestration layer itself is swappable, not locked to one foundation model.
  • → Enables sovereignty-compliant conductor models using domestic Japanese base models.
  • → Maintains performance and cost efficiency across different orchestrator generations.
Orchestration goes modular