Unverified50% confidenceBenchmarkExact time
从FP16到Q4_K_M，主流70B模型的困惑度（PPL）提升通常在0.1至0.3区间
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Demystifying Unified Memory Architecture: How Mini PCs Run 70B Large Models
hackernewshackernews7/10/2026
Related Claims
UnverifiedQ4_K_M has a perplexity approximately 0.1–0.3 lower than pure Q4.65% similarUnverifiedGPTQ（2022年）和AWQ（2023年）能将70B参数的LLM量化到INT4精度，困惑度损失不到1%64% similarVerifiedThe larger the number of model parameters, the greater the robustness to quantization, allowing 70B-level models to maintain performance close to FP16 after 4-bit quantization.61% similarUnverifiedGGUF格式的Q4_K_M是最主流的平衡选择，困惑度损失通常低于1%；Q8_0几乎无精度损失但文件体积是Q4的两倍59% similar
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