Developed comprehensive Qwen3-Dense Model Tutorials for the vllm-project/vllm-ascend repository, focusing on multi-node deployment and model optimization in multi-NPU environments. The work provided detailed Markdown documentation covering configuration, optimization steps, and performance evaluation for the Qwen3-Dense A2 and A3 series, including accuracy validation and compatibility with vLLM 0.12.0. By integrating cross-repository context and clear setup instructions, the tutorials enhanced reproducibility and scalability for AI model evaluation. This contribution improved onboarding and developer productivity by offering end-to-end guidance, demonstrating expertise in documentation, multi-node orchestration, and performance benchmarking without introducing bug fixes during the development period.