ChunkKV: Optimizing KV Cache Compression for Efficient Long-Context Inference in LLMs

Efficient long-context inference with LLMs requires managing substantial GPU memory due to the high storage demands of key-value (KV) caching. Traditional KV cache compression techniques reduce memory usage by selectively pruning less significant tokens, often based on attention scores. However, existing methods assess token importance independently, overlooking the crucial dependencies among tokens for preserving semantic […]

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Fonte: https://www.marktechpost.com/2025/02/08/chunkkv-optimizing-kv-cache-compression-for-efficient-long-context-inference-in-llms/