SALE is a training-free sparse attention method that uses 4-bit quantized query-key estimates and a relative attention score to skip unimportant blocks, achieving over 3.36x prefill speedup on 64K+ token contexts with negligible accuracy loss.
Booksum: A collection of datasets for long-form narrative summarization,
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SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling
SALE is a training-free sparse attention method that uses 4-bit quantized query-key estimates and a relative attention score to skip unimportant blocks, achieving over 3.36x prefill speedup on 64K+ token contexts with negligible accuracy loss.