implementation detail · filed under model architecture
Fixed-budget sparse-attention selection
A sparse-attention selection scheme with a fixed budget of blocks or tokens, after which attention cost stops growing with context length.
Also called fixed budget of 512 blocks or 2048 tokens.
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How sources treat it
One count per evidence span, weakest treatment to strongest.
core 1
Documented in
Evidence
1 span quoted from the sources, strongest treatment first.
Attention cost stops growing with context length once the budget binds
coremodel architecturein Qwen3.8-Flash-NextQwen
Filed alongside
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 optimizationCross-layer KV and index reuse with statically assigned CSA2 modesFrom-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