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SnapKV is a fine-tuning-free method that efficiently reduces Key-Value cache size in Large Language Models, maintaining performance while enhancing memory and time efficiency for long input sequences.
https://arxiv.org/abs//2404.14469
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
By Igor Melnyk5
33 ratings
SnapKV is a fine-tuning-free method that efficiently reduces Key-Value cache size in Large Language Models, maintaining performance while enhancing memory and time efficiency for long input sequences.
https://arxiv.org/abs//2404.14469
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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