Unverified50% confidenceFactExact time
Q4_K_M量化大约表示每个权重4位,并对异常值采用特定方案,在内存受限的机器上通常是甜点选择。
1
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50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
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UnverifiedQ4_K_M采用分组量化策略,将权重张量划分为64或256维子块并独立计算缩放因子与零点,能将困惑度损失控制在1–3%以内77% similarUnverifiedQ4_K方案使用4位量化,将权重分为超级块(256个权重)和子块,每个子块有独立缩放因子,超级块拥有更高精度的全局缩放因子77% similarUnverified"Q4" is a nominal label describing the overall approximate compression target, not the literal precision of each individual weight73% similarVerifiedQ4量化将每个权重参数从16位压缩到4位,理论上可将模型体积缩小约75%73% similarVerifiedIn GGUF quantization naming, Q4_K_M denotes a 4-bit quantization, Medium-precision variant using the K-Quant grouped quantization method73% similar
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