During March 2026, Chucai Dzq developed and integrated the BailingMoeV2.5 model architecture into the inclusionAI/AReaL repository, focusing on production readiness and distributed training reliability. Leveraging Python and deep learning frameworks, Chucai enabled advanced features such as Lightning Attention, Multi-Latent Attention, Mixture of Experts, and Context Parallelism, while ensuring seamless deployment through HuggingFace checkpoint compatibility and Megatron bridging. The work addressed distributed training challenges by refining expert shard handling and parameter synchronization, and improved model configuration integrity with robust save/load mechanisms. Collaborative efforts with cross-team contributors further aligned the architecture with evolving machine learning and model optimization standards.