Unverified50% confidenceFactExact time
Under 2-bit quantization, each weight has only about 4 discrete values.
1
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50%
Confidence
Long-term
Relevance
10/25/2026
First Seen
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Related Claims
Unverified2-bit量化意味着每个权重仅用4种状态表示，相比FP16压缩比高达8倍76% similarUnverifiedAfter 4-bit quantization, the weight size of a 2.8T parameter model may reach 1.4TB or more.74% similarUnverified三值化权重每个权重仅携带约1.58 bits信息量（log₂3≈1.585），相比FP32的32 bits信息密度下降约20倍71% similarUnverifiedTaking the Q4_0 format as an example, every 32 FP32 weights are packed into one quantization block containing one scale factor and 32 4-bit integers, averaging approximately 4.5 bits per parameter, reducing memory usage to approximately 1/8 of the original.69% similarUnverifiedW4A4 表示权重量化为 4-bit、激活值也量化为 4-bit，比 W4A16 方案更激进68% similar
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