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Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
Dynamic Memory Compression (DMC) optimizes key-value cache for Transformers, enhancing generation efficiency without compromising performance, achieving up to 3.7x throughput increase on LLMs like Llama 2.
https://arxiv.org/abs//2403.09636
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
Dynamic Memory Compression (DMC) optimizes key-value cache for Transformers, enhancing generation efficiency without compromising performance, achieving up to 3.7x throughput increase on LLMs like Llama 2.
https://arxiv.org/abs//2403.09636
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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