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Mixed Precision Scaling Laws for Quantized Pretraining

Kim, Jinuk et al.
arXiv (All) · Papers
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machine-learning
Since scaling laws were introduced for modern LLMs (Kaplan et al., 2020), several works have extended them to account for quantization, tracking the emerging low-precision data types supported on AI accelerators. We develop a more accurate scaling law for quantized pretraining with mixed precision a
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