[KongchangAI]
Unverified60% confidenceTradeoffExact time

Research such as Microsoft's BitNet shows that if 1-bit quantization-aware training (QAT) is applied from the pre-training stage, accuracy loss can be controlled, whereas post-training quantization (PTQ) typically incurs greater loss.

2
Sources
60%
Confidence
Long-term
Relevance
7/16/2026
First Seen

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