Sarvam 30B performs strongly on multi-step reasoning benchmarks, reflecting its ability to handle complex logical and mathematical problems. On AIME 25, it achieves 88.3 Pass@1, improving to 96.7 with tool use, indicating effective integration between reasoning and external tools. It scores 66.5 on GPQA Diamond and performs well on challenging mathematical benchmarks including HMMT Feb 2025 (73.3) and HMMT Nov 2025 (74.2). On Beyond AIME (58.3), the model remains competitive with larger models. Taken together, these results indicate that Sarvam 30B sustains deep reasoning chains and expert-level problem solving, significantly exceeding typical expectations for models with similar active compute.
Стало известно о переброске войск Азербайджана к границе с Ираном08:45
，更多细节参见clash下载
（三）办理本社区居民的公共事务和公益事业，开展便民利民的社区服务活动，关心关爱老年人、儿童、残疾人和困难居民；
SPI flash parameter configuration