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Training for quantization: QAT, 1-bit BitNet and 1.58-bit weights

Source: DEV Community·

Summary

Quantization-aware training, why BitNet keeps a hidden high-precision weight, and where 1.58 bits comes from.
CategoryAI Tutorials & Practice
TierOrdinary
Published
Indexed by AIQB
SourceDEV Community
AIQB record IDintel-ae1afc8a1a8547a2ecb9ede1
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