Heavily Compressed Attention

Assess

Techniques

An attention mechanism that applies stronger KV compression followed by dense attention over compressed tokens.

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.