HCAttention combines key quantization, CPU value offloading, and cumulative-attention eviction to run long-context LLMs with 12.5% to 25% of the GPU KV cache while keeping LongBench accuracy close to full attention.
Keyformer: Kv cache reduction through key tokens selection for efficient generative inference
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HCAttention: Extreme KV Cache Compression via Heterogeneous Attention Computing for LLMs
HCAttention combines key quantization, CPU value offloading, and cumulative-attention eviction to run long-context LLMs with 12.5% to 25% of the GPU KV cache while keeping LongBench accuracy close to full attention.