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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.，这一点在新收录的资料中也有详细论述
Queen Camilla, who invited Pelicot to her official residence in London last month, said the memoir left her "speechless".
，推荐阅读新收录的资料获取更多信息
arXiv:2602.07164 [cs.CL]，详情可参考新收录的资料
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