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Compressed Sparse Attention

Assess

Techniques

An attention mechanism that compresses KV entries and sparsely selects relevant blocks.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by model releases, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

  • 8Hugging Face Blog·4/24/2026model_release
    DeepSeek-V4 brings 1M-token context for agent workloads

    DeepSeek released V4 with two MoE checkpoints, DeepSeek-V4-Pro and DeepSeek-V4-Flash, both supporting a 1M-token context window. The release emphasizes architecture and post-training choices aimed at making long-running agentic tasks cheaper and more reliable, including hybrid attention designs and reduced KV cache usage.