Kimi K3 Architecture Overview and Notes(sebastianraschka.com)
461 points by ModelForge 20 hours ago | 100 comments
tl;dr: Kimi K3 is a scaled-up (2.8T parameter) production version of Kimi Linear, now the largest open-weight model, incorporating efficiency-focused components like LatentMoE (down-projected MoE, similar to Nemotron 3 Ultra), multi-head latent attention, and Kimi Delta Attention. Notably, it drops RoPE entirely in favor of NoPE across all layers—a first for a frontier-level model—and adds attention residuals that weight cross-layer residual connections via attention scores for ~4% training cost. It also introduces native multimodal support.
HN Discussion:
  • Request for visual diagrams to better explain the architecture concepts described
  • Kimi's recent quality has degraded with failed tool calls and endless thought loops despite architectural claims
  • Questions reproducibility and whether published architecture specs contain enough detail to actually implement
  • Praise for the Kimi team's smart selective adoption of meaningful architectural components, with slight concern about lossy linear attention
  • ~Skepticism that NoPE across all layers can actually work without positional inductive bias