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Sarvam 30B performs strongly across core language modeling tasks, particularly in mathematics, coding, and knowledge benchmarks. It achieves 97.0 on Math500, matching or exceeding several larger models in its class. On coding benchmarks, it scores 92.1 on HumanEval and 92.7 on MBPP, and 70.0 on LiveCodeBench v6, outperforming many similarly sized models on practical coding tasks. On knowledge benchmarks, it scores 85.1 on MMLU and 80.0 on MMLU Pro, remaining competitive with other leading open models.，这一点在PDF资料中也有详细论述
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第三張未標日期的照片中，克林頓倚靠在一個熱水浴池旁，旁邊是一位因保護身分而被塗黑臉部的人。，详情可参考新收录的资料
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