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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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Sessions remain temporary, but behavioral patterns persist. By recording events across multiple sessions, users can analyze agent behaviors over time, identify preferred utilities, and detect operational bottlenecks.，推荐阅读https://telegram官网获取更多信息
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