Unverified50% confidenceFactExact time
INT4量化将原本由65536个不同值（FP16）表示的权重压缩到仅16个离散级别
1
Sources
50%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
FTPO: A Training-Level Solution to AI Repetition Loops
hackernewshackernews7/7/2026
Related Claims
UnverifiedW4A4量化将权重和激活值均压缩至4位整数，理论上相比FP16可将显存占用降低至约1/481% similarUnverifiedThe FP4 format has only 4 bits (1 sign bit, 2 exponent bits, 1 mantissa bit) and can precisely represent only approximately 16 discrete values.77% 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%76% similarVerifiedFP32每个参数占4字节，FP16/BF16占2字节，INT8量化占1字节，INT4量化占0.5字节76% similarUnverifiedThe maximum value of FP16 is approximately 65504; its dynamic range is smaller than that of BF16 and is prone to overflow issues.75% similar
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