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Qwen3 4B vs 0.6B on a 6 GB GPU: Speed, Memory, and Answer Quality

This story is from 2026-10-21. It is preserved in the archive; the latest stories are on the live feed.

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…

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  1. 2026-10-21 23:54 · DEV Community — AI
    Qwen3 4B vs 0.6B on a 6 GB GPU: Speed, Memory, and Answer Quality

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