Unverified50% confidenceBenchmarkExact time
The fine-tuned 406M model achieved 36.33 ROUGE-1 on the test set, while the authors' own 1.2B system achieved 35.41 ROUGE-1, and the two cannot be statistically distinguished.
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9/23/2026
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UnverifiedUnder the same concise prompt and reference-overlap scorer, the published 406M specialized model leads at least five commercially hosted large models by at least 6.2 points on ROUGE-1.69% similarUnverified2.4万亿参数模型在BF16精度下考虑KV Cache和激活值后实际约需1.4-1.5TB显存66% similarUnverifiedIn strict format scoring tests, TwIL-LM's 1.7B model reportedly outperforms models 5 to 15 times its size.65% similarUnverified在覆盖九大维度共403道题的测试中，Muse-Glimmer-30B综合均分为76.04，比Corpus 3.6 27B的75.57高出0.47分64% similarUnverifiedMoE模型中'35B'指总参数量，每个token只激活少量Expert（通常2-4个），实际计算量可能仅相当于6-7B的Dense模型64% similar
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