Partially Verified65% confidenceFactExact time
当使用以2为底的对数时熵的单位是比特(bits),使用自然对数时单位是nats
3
Sources
65%
Confidence
Long-term
Relevance
8/2/2026
First Seen
Sources
Related Entities
Related Claims
Unverified三个状态的信息熵为log₂(3)≈1.58比特,因此三元量化也被称为1.58-bit量化68% similarUnverified大模型调用的计费单位是Token而非请求次数,响应时间从毫秒级变为秒级甚至分钟级59% similarUnverified2024 年以来 1-bit 量化(如 BitNet 系列)进入学术视野,将权重压缩至 {-1, 0, +1} 三值,目前仍处于研究阶段59% similarUnverifiedBitNet探索的极端量化(如2-bit或1.58-bit三值量化)在某些场景下也能保持较好性能58% similarUnverified叠加K-quant、GPTQ、AWQ等技巧可将量化平稳延伸到4-bit,但推进到2-bit或1-bit时性能会灾难性崩塌56% similar
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