specific method · filed under model architecture
Kimi Delta Attention
A delta-rule linear-attention method that extends the recurrence with a channel-wise forget gate.
Also called KDA linear attention layers, Kimi Delta Attention (KDA).
- sources
- 6
- models
- 2
- labs adopt it
- 2
- strongest
- core
How sources treat it
One count per evidence span, weakest treatment to strongest.
Documented in
Further reading
Picked by hand, not extracted: where to read more, not evidence for anything on this page.
- Kimi Linear: An Expressive, Efficient Attention Architecture (Moonshot AI, 2025) paper arxiv.orgintroduces Kimi Delta Attention (KDA)
Evidence
6 spans quoted from the sources, strongest treatment first.
Kimi K3 is built on Kimi Delta Attention (KDA) and Attention Residuals (AttnRes)
Kimi K3 is built on Kimi Delta Attention (KDA)
KDA extends the delta-rule recurrence [105, 138] with a channel-wise forget gate [63].
Its 45-layer language model combines KDA linear-attention layers with NoPE sparse MLA layers
Kimi K3 is built on Kimi Delta Attention (KDA) and Attention Residuals (AttnRes), two architectural updates designed to improve how information flows across sequence length and model depth.
Kimi Delta Attention, a hybrid linear attention scheme
Filed alongside
Other methods under model architecture :: token mixer :: linear attention & state space :: gated delta network.