Sarvam 30BSarvam 30B is designed as an efficient reasoning model for practical deployment, combining strong capability with low active compute. With only 2.4B active parameters, it performs competitively with much larger dense and MoE models across a wide range of benchmarks. The evaluations below highlight its strengths across general capability, multi-step reasoning, and agentic tasks, indicating that the model delivers strong real-world performance while remaining efficient to run.
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，这一点在新收录的资料中也有详细论述
{ 60, 28, 52, 20, 62, 30, 54, 22 },，这一点在新收录的资料中也有详细论述
Meta AI对齐总监Summer Yue
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