블로그 글 추가: 2026-06-03-using-muon-optimizer-with-deepspeed, DeepSpeed에서 Muon 옵티마이저 사용하기#91
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블로그 글 추가: 2026-06-03-using-muon-optimizer-with-deepspeed, DeepSpeed에서 Muon 옵티마이저 사용하기#919bow wants to merge 1 commit into
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PR Preview빌드가 완료되었습니다! 아래 링크에서 변경사항을 확인할 수 있습니다. 미리보기: https://pytorchkr-pr-preview-91.surge.sh
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번역 글 소개
DeepSpeed에서 Muon 옵티마이저 사용하기 번역 글을 추가합니다.
이제 DeepSpeed가 Muon 옵티마이저를 지원합니다. Muon은 신경망의 은닉 2D 가중치를 위해 설계된 옵티마이저로, 모멘텀 행렬을 Newton-Schulz 반복으로 직교화하여 사전 학습에서의 수렴 이점을 얻으며, 모멘텀 버퍼를 하나만 유지해 Adam보다 옵티마이저 상태 메모리를 절약합니다. 이번 글은 DeepSpeed에서의 Muon 지원 방식과 함께, Moonlight-16B-A3B 미세 조정 수렴 실험(4개 지표 중 3개에서 AdamW 상회) 및 Qwen2.5-3B 메모리 측정 결과(GPU당 약 9% 절감)를 소개합니다.