Unverified70% confidenceFactExact time
Research found that CoT reasoning ability emerges spontaneously only in ultra-large-scale models with more than approximately 100B parameters.
2
Sources
70%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
Related Claims
UnverifiedThe CoT effect is especially pronounced in models with parameter counts exceeding approximately 100B, manifesting as 'emergent capabilities'.81% similarUnverified研究表明CoT提示在参数量低于100B的模型上几乎无效81% similarVerifiedThe emergent property of CoT manifests only when model parameter count exceeds approximately 100 billion, at which point it significantly improves performance, while being almost ineffective on smaller models.78% similarVerifiedThe chain-of-thought effect is particularly pronounced in models with parameter counts exceeding 100B.71% similarUnverified研究表明大模型的强量化版本在同等资源下有时优于原生小模型，如70B模型量化到4-bit后综合表现往往优于原生的7B或13B全精度模型69% similar
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