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[AI & ML]

layered-prefill

Layered prefill changes the scheduling axis from tokens to layers and removes redundant MoE weight reloads while keeping decode stall free. The result is lower TTFT, lower end-to-end latency, and lower energy per token without hurting TBT stability.
scale-snu
@scale-snu
maintainer
★ 18 stars
github
layered-prefill — preview
layered-prefill repository preview
# README
Layered prefill changes the scheduling axis from tokens to layers and removes redundant MoE weight reloads while keeping decode stall free. The result is lower TTFT, lower end-to-end latency, and lower energy per token without hurting TBT stability. Maintained by scale-snu on GitHub, where it has earned 18 stars from the community.
It's actively developed around inference, llm, llm-infernece, and is a solid reference for anyone building with these tools.
# tags
# install
npm install layered-prefill
languages
Python100%
last commit4 months ago
licenseMIT
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