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English(EN) You really should not quantize KV Cache for DeepSeek V4 Flash

DeepSeek V4 Flash KV 缓存量化会降低质量,而 Qwen 397B 不会

r/LocalLLaMA 上的一位用户建议不要为 DeepSeek V4 Flash 模型量化 KV 缓存,并指出质量会显著下降。该用户展示了 DeepSeek V4 Flash 模型的 BF16 KV 缓存与 Q8 KV 缓存的困惑度、KL 散度和 token 概率统计数据,显示出明显的影响。相比之下,对 Qwen 397B 模型进行的类似测试表明,量化 KV 缓存时质量损失很小。 AI

影响 强调了在优化大型语言模型以进行本地部署时潜在的性能权衡。

排序理由 用户生成的关于模型性能的建议和技术分析,而非主要发布或研究论文。

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

DeepSeek V4 Flash KV 缓存量化会降低质量,而 Qwen 397B 不会

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  1. r/LocalLLaMA TIER_1 English(EN) · /u/erazortt ·

    您真的不应该为 DeepSeek V4 Flash 量化 KV Cache

    <!-- SC_OFF --><div class="md"><p>I don't think anyone should quantize the KV with DS4F. I checked the the quality impact (PPL, KLD, Same TopP) for swhitching from BF16 KV to Q8 KV, and it appears significant. Very much in contrast to Qwen 397B.</p> <p>Here are the results for DS…