During December 2025, Anyu Ting developed comprehensive Qwen3-Dense Model Tutorials for the vllm-project/vllm-ascend repository, focusing on multi-node deployment and model optimization. The work provided detailed Markdown documentation covering configuration, optimization steps, and performance evaluation for Qwen3-Dense A2/A3 models, including accuracy validation and compatibility with vLLM 0.12.0. By integrating cross-repository context and reproducibility guidance, Anyu enabled scalable AI model evaluation across multi-NPU environments. The tutorials enhanced onboarding and developer productivity by offering clear, end-to-end setup instructions, demonstrating depth in multi-node orchestration and performance benchmarking while addressing the needs of scalable machine learning workflows.