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#power-of-two-quantization News & Analysis

1 article tagged with #power-of-two-quantization. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

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AIBullisharXiv – CS AI · 3h ago7/10
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GoQuant: Geometric Orthogonal Residual Projection for Multiplier-Free Power-of-Two Transformer Quantization

GoQuant introduces Orthogonal Residual Projection (ORP), a quantization framework that enables efficient deployment of large language models on edge devices by replacing multiplication operations with bit-shifts. The approach achieves competitive performance at 3-bit precision while reducing calibration time to 15 minutes, addressing fundamental geometric limitations in power-of-two quantization.

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