SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Project description
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
SmoothQuant enables an INT8 quantization of both weights and activations for all the matrix multiplications in LLMs, including OPT-175B, BLOOM-176B, GLM-130B, and MT-NLG 530B.
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