For my personal retrieval-augmented generation (RAG) study, I needed a local model to answer questions from documents. My laptop has an RTX 3060 Laptop GPU with 6 GiB of VRAM, so memory use mattered alongside speed. I compared qwen3:4b and qwen3:0.6b using Ollama. The smaller model generated tokens roughly three times faster. The larger model passed all six document checks, while the smaller one passed four. That gave me a practical starting point for the lab. Here is what I measured a...