Kimi K3 Deep Dive — Architecture, Training & Benchmarks of the 2.78-Trillion-Parameter Open-Weight Model [D]

Hi everyone! 👋

I wrote an extensive technical deep-dive into Moonshot AI's Kimi K3, analyzing its architectural innovations, training stability tricks, and benchmark performance.

The blog covers:

• Kimi Delta Attention (KDA)
• Attention Residuals
• Stable LatentMoE
• Quantile Balancing
• NoPE
• 1M-token context
• RL training pipeline
• Infrastructure and serving optimizations
  

I’d love to get your feedback and discuss any specific parts of the architecture!

Blog: https://imrancoder786.github.io/blog-post.html?post=kimi-k3-deep-dive