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SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation research paper by Snowflake, 2024

Snowflake · Inference and efficiency · Oct 4, 2024 · 21 citations · 2 upvotes

Read on arXiv

What it shows

SwiftKV lets prompt tokens skip later layers and merges KV caches, cutting prefill cost for long-prompt workloads.

By Aurick Qiao, Zhewei Yao, Samyam Rajbhandari and 1 more · arXiv 2410.03960 · PDF

Summarised by hand from the abstract.

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About this paper
Venue
Conference on Empirical Methods in Natural Language Processing
Citations
21, 1 influential · Semantic Scholar
Upvotes
2 · Hugging Face
Lab
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Changes

CitationsNov 9, 2026Citations rose from 19 to 21.
CitationsOct 12, 2026Citations rose from 18 to 19.
New paperSep 24, 2026Added to the list.