to hit a CRL you’ve seen recently)
// The closure's captured 'count' lives on the GC heapThere are no weak references, no finalizers, and no way to manually trigger collection from Mog code. The GC is non-generational and non-concurrent — it stops the script during collection. For the short-lived scripts Mog targets, this is a reasonable tradeoff: simplicity and correctness over pause-time optimization.
，这一点在新收录的资料中也有详细论述
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
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