December 2025 monthly summary focusing on key achievements and business impact. The primary effort centered on stabilizing FP16 gradient computations for GegLU in the linkedin/Liger-Kernel repository. Implemented implicit casting in the forward path and adjusted the backward computation flow to upcast to FP32, addressing a FP16-specific gradient bug that impacted gradient reproducibility. Updated tests to tighten FP16 tolerance (1e-2) and achieved passing results on RTX hardware, reducing false negatives and increasing reliability in FP16 training scenarios. No measurable performance regression observed in initial checks. This work directly improves numerical stability, trust in FP16-enabled models, and the robustness of downstream training pipelines, while preserving accuracy and test coverage.

October 2025 monthly summary for ligand/transformers? Wait the repo is liguodongiot/transformers. The month focuses on RT-Detr family usability and correctness. Key outcomes include a documentation update enforcing a fixed input size of 640x640 for RT-Detr to match training conditions, and a bug fix correcting 2D positional embeddings for non-square images across RT-Detr, DFine, and RT-DetrV2 to ensure accurate positional information and reliable inference across diverse image shapes. These changes reduce misconfigurations, prevent degraded performance from unintended resizing, and strengthen model reliability in production workflows.