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Large Language Modelsr/MachineLearningPublished: Oct 30, 2026, 22:00 JST

96.89% → 96.82% on GSM8K: is this quality-neutral?

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96.89% → 96.82% on GSM8K: is this quality-neutral?

A Reddit poster laid out two GSM8K scores — 96.89% → 96.82% across all 1,319 test questions — from NVIDIA's Ling-3.0-flash comparison on one DGX Spark, where the optimized setup changes the MoE backend, adds an FP8 output head and enables NEXTN speculative decoding together, both runs using the FP4 checkpoint.

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