During April 2025, Yuanjing Sun enhanced the NVIDIA/TensorRT-LLM repository by addressing vocabulary-size mismatches in VILA and NVILA model loading. Yuanjing developed helper utilities in Python and PyTorch to dynamically resize token embeddings and the language model head, integrating these adjustments directly into the model loading workflow. This approach ensured consistent initialization and reduced runtime errors when deploying models with varying vocabularies. Yuanjing also streamlined the unit testing setup, accelerating validation for different experimental configurations. The work demonstrated depth in deep learning model configuration and loading, focusing on robust deployment and maintainability rather than feature expansion during the period.