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首先,Sarvam 30B runs efficiently on mid-tier accelerators such as L40S, enabling production deployments without relying on premium GPUs. Under tighter compute and memory bandwidth constraints, the optimized kernels and scheduling strategies deliver 1.5x to 3x throughput improvements at typical operating points. The improvements are more pronounced at longer input and output sequence lengths (28K / 4K), where most real-world inference requests fall.
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第三,Text-Only Evaluation: For text-only questions, Sarvam 105B was evaluated directly on questions containing purely textual content.
此外,Cannot find name 'Bun'. Do you need to install type definitions for Bun? Try `npm i --save-dev @types/bun` and then add 'bun' to the types field in your tsconfig.
最后,I published seven books in the fields of database and system integration (4 PostgreSQL books and 3 MySQL books).
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