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[short] GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Training large language models faces memory challenges. Gradient Low-Rank Projection (GaLore) reduces memory usage by up to 65.5% in optimizer states while maintaining efficiency and performance.
https://arxiv.org/abs//2403.03507
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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By Igor Melnyk
5
33 ratings
Training large language models faces memory challenges. Gradient Low-Rank Projection (GaLore) reduces memory usage by up to 65.5% in optimizer states while maintaining efficiency and performance.
https://arxiv.org/abs//2403.03507
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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