Model techniques map
Techniquesmodel architecturetoken mixersparse attention

specific method · filed under model architecture

Heavily Compressed Attention

A heavily compressed attention component paired with Compressed Sparse Attention in a hybrid long-context architecture.

Also called Heavily Compressed Attention (HCA).

sources
5
models
2
lab adopt it
1
strongest
core

How sources treat it

One count per evidence span, weakest treatment to strongest.

used 3core 2

Documented in

Further reading

Picked by hand, not extracted: where to read more, not evidence for anything on this page.

Evidence

5 spans quoted from the sources, strongest treatment first.

we design a hybrid attention mechanism combining Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA)

coremodel architecturein DeepSeek-V4DeepSeek

CSA/HCA cuts KV cache to 10% of V3.2 levels at 1M context

coremodel architecturein DeepSeek-V4DeepSeek

Hybrid Attention Architecture: combines Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA) to dramatically improve long-context efficiency.

usedmodel architecturein DeepSeek-V4DeepSeek

combining Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA)

usedmodel architecturein DeepSeek-V4-FlashDeepSeek

combining Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA)

usedmodel architecturein DeepSeek-V4DeepSeek

Filed alongside

Other methods under model architecture :: token mixer :: sparse attention.