Worked on the jeejeelee/vllm repository to enhance the Step3Text model’s weight loading process by refactoring it to use the AutoWeightsLoader utility. This approach improved the modularity and maintainability of the weight-loading path, making it easier to onboard new model weights and reducing the risk of regressions in weight initialization. The work focused on isolating and standardizing the loading logic, which supports future extensibility and aligns with the project’s reliability goals. Implemented using Python and PyTorch, the changes were validated against existing tests and prepared for broader rollout, contributing to improved scalability and integration across the codebase.