LodeHQ
AI news for people who shipFree, by email

Dev · sebastianraschka.com · Wednesday, 29 July 2026

Kimi K3 jumps to 2.8 T parameters with NoPE and LatentMoE for efficiency

Kimi K3 scales the Kimi Linear model from 48 B to 2.8 T parameters, swapping RoPE for a NoPE scheme and adding LatentMoE and attention residuals for efficiency. The tweaks shave inference cost while delivering native multimodal support, marking it the largest open‑weight model to date.

Read the source: sebastianraschka.com ↗In the 29 July issue →