EPISODE · Feb 21, 2025 · 7 MIN
[QA] RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression
from Arxiv Papers · host Igor Melnyk
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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[QA] RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression
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