specific method · filed under model architecture
Cross-layer KV and index reuse with statically assigned CSA2 modes
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CSA2 has three statically assigned modes: Full, Reindex, and Reuse. Reuse Mode reuses both global KV and the Top-K indices in a preceding layer, and directly performs sparse attention.
coremodel architecturein DeepSeek-V4.1-FlashDeepSeek
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Other methods under model architecture :: token mixer :: sparse attention.
DeepSeek Sparse AttentionCompressed Sparse AttentionQwen Sparse AttentionSparse attentionHeavily Compressed AttentionGated DeepSeek Sparse AttentionCSA2 Full ModeKV-outer sparse attentionProgressive sequence-length extension for sparse attentionSparse-attention continued pre-training with joint model and indexer optimizationFixed-budget sparse-attention selectionFrom-scratch sparse attention training without dense warmupJoint backbone and indexer training under sparse attentionNative Sparse AttentionNatively trained sparsityNoPE sparse multi-head latent attentionQSA micro-block compression at ratio 4Sequential block processingSparse retrieval over long contextsSparse softmax attentionToken-wise compressionTwo-stage introduction of sparse attentionTwo-stage sparse attention