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20232026
most citedFlattenQuant: Breaking Through the Inference Compute-bound for Large Language Models with Per-tensor Quantization

1 citations · 2 across the 5 of their papers we have counts for

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cs.DC2024★ 1 cited

On the Performance and Memory Footprint of Distributed Training: An Empirical Study on Transformers

Zhengxian Lu, Fangyu Wang, Zhiwei Xu +2

Transformer models have emerged as potent solutions to a wide array of multidisciplinary challenges. The deployment of Transformer architectures is significantly hindered by their…