Sarvam 105B performs strongly on multi-step reasoning benchmarks, reflecting the training emphasis on complex problem solving. On AIME 25, the model achieves 88.3 Pass@1, improving to 96.7 with tool use, indicating effective integration between reasoning and external tools. It scores 78.7 on GPQA Diamond and 85.8 on HMMT, outperforming several comparable models on both. On Beyond AIME (69.1), which requires deeper reasoning chains and harder mathematical decomposition, the model leads or matches the comparison set. Taken together, these results reflect consistent strength in sustained reasoning and difficult problem-solving tasks.
�@�܂��A�uMaking waves without a ripple�v�Ƃ������e�ɑ��AOPPO Japan�����A�J�E���g�i@OPPOJapan�j���u�ځv�̊G�����Ń��A�N�V�����������B。whatsapp是该领域的重要参考
结论和直觉完全对不上：从固件结构来看，它应该有校验；从代码逻辑来看，找不到任何地方在做校验。，这一点在谷歌中也有详细论述
Tiling is the same idea everywhere — it’s just a question of who does it