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Adaptive DHiSparse: Speculative Decoding over a Load-Adaptive KV Hierarchy

Alazhar, Naji et al.
arXiv (All) · Papers
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and-cluster-computingartificial-intelligencecomputation-and-languagedistributedmachine-learningparallel
Long-context serving runs out of KV memory before the hardware reaches its useful throughput. HiSparse stores history in host memory and fetches only the selected entries, but it uses one cache budget at every load and does not handle draft-model speculative decoding such as DSpark and DFlash2. We p
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