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News/HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference
arxiv
PublishedApril 8, 2026 at 4:00 AM
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HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference

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Publisher summary· verbatim

arXiv:2604.05887v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have advanced unified reasoning over text, images, and videos, but their inference is hindered by the rapid growth of key-value (KV) caches. Each visual input expands into thousands of tokens, causing caches to

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Mentioned models
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  • 01
    Qwen2.5-VL-7B
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Read original ↗All from arxiv →
Tags
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#multimodal#compression#optimization#memory-efficiency

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