QwenGyre makes hour-long agent training up to 1.85× faster
QwenGyre gives researchers a way to train agents on runs lasting hours and nearly 1M tokens without leaving GPUs idle. Its scheduler shifts GPUs between generating rollouts and training while executions continue, then removes duplicate branches and scores partial progress so the learner gets cleaner data. On Qwen 3.8 2.4T with 700K-token rollouts, it raised NL2RepoBench from 52.5% to 58.5% and reached 1.85× the speed of Colocate.