r/LocalLLaMA 子版块的用户正在讨论大型语言模型的优化问题，特别是关于在内存有限的情况下，为什么KV缓存精度有时会在权重精度之前增加。这种将KV缓存设置为8位而权重降低到4位的方法被观察到，但在社区中缺乏明确的解释。 AI
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排序理由 用户对大型语言模型技术优化策略的讨论。
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大型语言模型用户就内存有限情况下KV缓存精度与权重量化展开辩论
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报道来源 [1]
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为什么 KV 缓存的量化会在权重量化之前增加？
<!-- SC_OFF --><div class="md"><p>I'm cases where ram is limited I've seen a preference for increasing kvcache precision instead of the weight precision.</p> <p>I.e. 8bit kvcache but only 4bit weights. </p> <p>But I can't seem to find a solid explanation as to why?</p> </div><!--…