A Coding Implementation on Qwen 3.6-35B-A3B Covering Multimodal Inference, Thinking Control, Tool Calling, MoE Routing, RAG, and Session Persistence

The tutorial shows how to deploy and use Qwen/Qwen3.6-35B-A3B efficiently.

It covers adaptive GPU loading, quantization, and multimodal inference so the large model can run within limited memory.

It also demonstrates thinking control, tool calling, and structured JSON output for application-ready workflows.

Beyond inference, it includes MoE routing inspection, RAG, benchmarking, and session persistence for practical deployment.