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RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression
RocketKV is a training-free KV cache compression strategy that reduces memory demands during decoding, achieving up to 3x speedup and 31% memory reduction with minimal accuracy loss.
https://arxiv.org/abs//2502.14051
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
RocketKV is a training-free KV cache compression strategy that reduces memory demands during decoding, achieving up to 3x speedup and 31% memory reduction with minimal accuracy loss.
https://arxiv.org/abs//2502.14051
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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