Tencent open-sourced AngelSpec, a unified training framework boosting large model inference throughput via multi-scheme collaboration and workload adaptation. It uses multi-token prediction for open-ended tasks and a block diffusion model (DFly) for code/math, with a dynamic verification mechanism to balance compute and throughput. DFly achieved highest average throughput in Hy3 tests.