Kwaipilot/KAT-Dev-72B-Exp

Kwaipilot/KAT-Dev-72B-Exp is an experimental 72-billion parameter model developed by Kwaipilot, specifically designed for software engineering tasks. This model is the reinforcement learning version of the KAT-Coder, achieving 74.6% accuracy on SWE-Bench Verified when evaluated with the SWE-agent scaffold. It incorporates technical innovations in attention kernel rewriting and a redesigned training engine for efficient RL, particularly for context-managed scaffolds. Its primary strength lies in advanced code generation and problem-solving within software development environments.