Unverified50% confidenceFactExact time
At a context length of 100k, the generation speed of local LLM inference may drop by more than 50% compared to short text.
1
Sources
50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
Sources
Related Entities
Related Claims
Unverified推测解码中当草稿通过率低于50%时，实际加速效果会大打折扣甚至产生负优化72% similarUnverifiedIn traditional LLM inference, the actual utilization rate of the KV cache is often less than 50%, while PagedAttention can raise it to nearly 100%.69% similarUnverified实验数据显示，经过5-10轮迭代训练后，模型在低频词汇和长尾知识上的覆盖率下降超过40%，而输出文本在表面流畅性上几乎没有可察觉的退化68% similarUnverifiedAfter offloading half of the model layers to system memory, the generation speed often drops sharply from over ten tokens per second to single digits.67% similarUnverifiedWhen models transitioned from historical texts to contemporary texts, a performance drop of 20% to 50% was observed.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/974689API
curl https://kongchang.com/api/v1/knowledge/claims/974689MCP
get_claim(id=974689)