During April 2025, Bo Zhong enhanced stability and security across the liguodongiot/transformers and huggingface/accelerate repositories. He updated deprecated Trainer and ModelOutput functions to align with the latest PyTorch APIs, ensuring continued compatibility and improved performance. In huggingface/accelerate, he strengthened model loading workflows by setting weights_only=True in torch.load calls, mitigating the risk of arbitrary code execution from state dictionaries and increasing loading efficiency. His work demonstrated practical expertise in Python, PyTorch, and secure model loading, focusing on patch-based maintenance and code refactoring. These targeted improvements addressed both technical debt and evolving security requirements in large-scale machine learning projects.