Efficiency Claim Holds

Rigel's compute-efficiency claim is broadly replicated by outside labs, confirming that careful data curation and training recipes can close much of the gap with larger open models. The result accelerates interest in small language models for enterprises, mobile devices, and cost-sensitive inference workloads.

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