During April 2025, B. Zhong enhanced stability and security across the liguodongiot/transformers and huggingface/accelerate repositories. Zhong updated deprecated Trainer and ModelOutput functions to align with the latest PyTorch APIs, ensuring continued compatibility and improved performance. In huggingface/accelerate, Zhong implemented secure model loading by setting weights_only=True in torch.load calls, mitigating the risk of arbitrary code execution from state dictionaries and streamlining FSDP workflows. These contributions demonstrated practical expertise in Python, PyTorch, and secure model loading, reflecting a focused approach to patch-based maintenance and risk reduction. The work addressed immediate technical debt and improved long-term repository resilience.