Unverified60% confidenceCautionExact time
It is widely recognized in the industry that quantization below 2-bit leads to significant capability degradation on high-precision tasks such as complex multi-step reasoning and mathematical computation.
2
Sources
60%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
Related Claims
VerifiedQuantization is not lossless compression; the lower the precision, the greater the degradation in model inference quality (perplexity, logical reasoning capability), and 4-bit quantization is considered a good balance point between quality and size.79% similarVerified4-bit quantization introduces some accuracy loss, but in many practical tasks its performance is very close to that of the original model.77% similarVerifiedQuantization technology converts floating-point operations to fixed-point operations, reducing model size by 4–8 times and improving inference speed by 2–4 times.77% similarVerified量化会不可避免地引入精度损失，在逻辑推理等对准确性敏感的任务上可能出现性能下降77% similar
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