HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference
HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference explores HybridKV is a novel framework that significantly compresses multimodal LLM KV caches, reducing memory usage and latency by up to 7.9x and 1.52x respectively, with minimal performance impact.. Commercial viability score: 7/10 in LLM Inference Optimization.
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