Unverified70% confidenceFactExact time
Naïve post-training quantization causes individual weight errors to accumulate and amplify across multiple layers—a phenomenon known as compounding error—and at 2-bit or 1-bit precision the model structure collapses
2
Sources
70%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
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