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.
needles" on the task performance. We take “The best thing to do in Paris is buy a fresh croissant and lounge by the Seine at twilight
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.