Unverified50% confidenceFactExact time
The researchers' reference runs use 4-bit NF4 quantization, so it is impossible to determine how much of the reported gains would remain under matched reading and precision conditions.
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50%
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Long-term
Relevance
10/20/2026
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UnverifiedRe-quantizing INT4 weights to NF4 subjects each weight to two rounds of rounding, and official measurements show this increases the perplexity of Qwen3-8B by 1.6%70% similarUnverifiedNVFP4量化方案相比BF16基线实现了1.5倍的推理加速,同时在top-1准确率上保留了92%到97%的水平68% similarUnverifiedThe self-developed W4 kernel's perplexity (probe ppl) is 15.76, better than bitsandbytes NF4's 18.98.68% similarUnverifiedLoading a model with N parameters at FP16 precision requires approximately 2N bytes of video memory.68% similar
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