Overview Running large language models locally is becoming increasingly practical, even for developers without access to massive GPU clusters. In this post, I walk through how to: Run Qwen3.6 35B (A3B, Q4_K_M quantized) locally using Ollama Integrate the model into VS Code Use it as a local coding assistant This setup is especially useful for: Air-gapped environments

Introduction Several days ago, I setup ollama on my MacBook M4, and it works pretty well. At that time, I tried to use it with copilt with local models codegemma:7b and qwen3:8b. My expectation was not so high as the hardware configuration of my macbook pro m4 is just a entry level, just want to see how it works. I also learned there are other options such as vllm. After comparing the two, I found vllm is more flexible, powerful, product-ready, used widely in enterprises.