SkewAdam: A tiered optimizer that cuts MoE state memory by 97% (fits a 6.7B MoE on a 40GB GPU) [R]

Reddit r/MachineLearning Papers

Summary

SkewAdam is a tiered optimizer that reduces memory usage for MoE state by 97%, enabling a 6.7B MoE model to fit on a single 40GB GPU.

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Original Article

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