June 2025 — liguodongiot/transformers: Delivered a new training configuration option that enhances kernel-level control and training flexibility. Added liger_kernel_config to TrainingArguments to selectively enable or disable specific Liger kernels, enabling precise experiment setup and potential resource optimization. Commit reference: 797860c68cfd8bd3ad38ce312540445073f76b30 (feat: add flexible Liger Kernel configuration to TrainingArguments (#38911)). No major bugs fixed this month; the focus was on feature delivery and code quality improvements. Overall impact: improves configurability, reproducibility, and cost efficiency in model training by allowing kernel-level toggling. Skills demonstrated: API design for training configuration, Python interface augmentation, thoughtful integration with TrainingArguments, and clean commit-level changes that support downstream experimentation.