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KV-Cache Compression Under Strict Memory Budgets

In Proceedings of the Symposium on Efficient and On-Device Machine Learning (SEODML 2026), pp. 11–20. Singapore, 8 Sep 2026.

DOI 10.xxxx/ctm.pr.2026.0007 · ID CTM-PR-2026-0007

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Desai, R. & Holm, A. (2026). KV-Cache Compression Under Strict Memory Budgets. In Proceedings of the Symposium on Efficient and On-Device Machine Learning (SEODML 2026) (pp. 11–20). CONTINUUM Proceedings. doi:10.xxxx/ctm.pr.2026.0007

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Abstract

Long conversations on a phone are limited by the size of the key-value cache. We compare eviction, quantisation and merging strategies under hard memory budgets and find that a hybrid of merging and 8-bit storage keeps perplexity within 3% at one quarter of the memory.

Keywords KV cache · memory · long context · inference

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Paper · PDF · pp. 11–20

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Desai, R. & Holm, A. (2026). KV-Cache Compression Under Strict Memory Budgets. In Proceedings of the Symposium on Efficient and On-Device Machine Learning (SEODML 2026) (pp. 11–20). CONTINUUM Proceedings. doi:10.xxxx/ctm.pr.2026.0007

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