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

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

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1v38k1m/skewadam_a_tiered_optimizer_that_cuts_moe_state/"> <img src="https://preview.redd.it/1457xi9fcqeh1.jpg?width=140&height=90&auto=webp&s=879aad6df9e51a2735d91112d01518ff76ba3cbe" alt="SkewAdam: A tiered optimizer that cuts MoE state memory by 97% (fits a 6.7B MoE on a 40GB GPU) [R]" title="SkewAdam: A tiered optimizer that cuts MoE state memory by 97% (fits a 6.7B MoE on a 40GB GPU) [R]" /> </a> </td><td> <!-- SC_O

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