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OWQ: Lessons learned from activation outliers for weight quantization in large language models. (arXiv:2306.02272v3 [cs.CL] UPDATED)



Large language models (LLMs) with hundreds of billions of parameters require powerful server-grade GPUs for inference, limiting their practical deployment.



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