AIHySparse2 reportedly shifts from block-level to token-level sparsity
One post compares the change to DeepSeek's move from NSA to DSA in V3.2-Exp. Another claims gains in prompt processing and memory efficiency for HySparseV2.
TLDR
HySparse2's main change is a shift from block sparsity to token-level sparsity, one post says, comparing it with DeepSeek's NSA-to-DSA move using token top-k in V3.2-Exp. Another post describes HySparseV2 as retaining full-attention backbone layers and claims gains in prefill—the initial processing of a prompt—and memory efficiency.
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HySparse2 reportedly shifts from block-level to token-level sparsity
One post compares the change to DeepSeek's move from NSA to DSA in V3.2-Exp. Another claims gains in prompt processing and memory efficiency for HySparseV2.
TLDR
HySparse2's main change is a shift from block sparsity to token-level sparsity, one post says, comparing it with DeepSeek's NSA-to-DSA move using token top-k in V3.2-Exp. Another post describes HySparseV2 as retaining full-attention backbone layers and claims gains in prefill—the initial processing of a prompt—and memory efficiency.