Guangtai developed a tensor parallelism configuration for Qwen3’s expert MLPs in the liguodongiot/transformers repository, focusing on enhancing scalability and performance within the model’s Mixture of Experts (MoE) path. Using Python and leveraging deep learning and model configuration expertise, Guangtai’s work established the foundation for distributed device execution, enabling scalable multi-device inference and training. The implementation addressed the technical challenge of preparing Qwen3 for large-scale deployments by introducing a robust parallel distribution plan. Although no bugs were fixed during this period, the depth of the feature work ensured the repository was ready for future benchmarking and production use.