Verified65% confidenceTradeoffExact time
Stacking techniques such as K-quant, GPTQ, and AWQ can smoothly extend quantization to 4-bit, but performance catastrophically collapses when pushed to 2-bit or 1-bit.
3
Sources
65%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
Related Claims
UnverifiedBitNet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77% similarUnverifiedWhen a large portion of the model is offloaded to the CPU, any quantization bit-width that cannot be divided evenly by 2 incurs a speed penalty, making 3-bit actually slower than 4-bit.73% similarUnverifiedAt 4-bit precision and above, quantization has limited impact on output quality for most application scenarios.72% similarUnverified4-bit quantization is the balance point between performance and accuracy, while 3-bit can further reduce memory usage.72% similarUnverifiedUnder 4-bit and even 3-bit quantization, many models can still maintain more than 90% of their original performance.70% similar
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