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DeepSeek V4 Flash KV Cache Quantization Degrades Quality, Unlike Qwen 397B

A user on r/LocalLLaMA has advised against quantizing the KV cache for the DeepSeek V4 Flash model, citing significant quality degradation. The user presented perplexity, KL divergence, and token probability statistics comparing BF16 KV cache to Q8 KV cache for DeepSeek V4 Flash, which showed a notable impact. In contrast, similar tests on the Qwen 397B model indicated minimal quality loss when quantizing the KV cache. AI

IMPACT Highlights potential performance trade-offs when optimizing large language models for local deployment.

RANK_REASON User-generated advice and technical analysis regarding model performance, not a primary release or research paper.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DeepSeek V4 Flash KV Cache Quantization Degrades Quality, Unlike Qwen 397B

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User-generated advice and technical analysis regarding model performance, not a primary release or research paper.
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55 days old
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COVERAGE [1]

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

    You really should not quantize KV Cache for DeepSeek V4 Flash

    <!-- 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…