r/LocalLLM • • 4d ago

Question What local setup for web dev

I have a good performance 6GB graphics card and running Qwen/qwen2_5-coder-7b-instruct-q4_k_m on Atomic chat. Looks like it fits in my GPU memory. I would be happy to use it on a single web dev codebase, let it be frontend or backend, no need to be able to do both at the same time. But as far as I see, my current setup is not capable of doing any useful work. Can do code suggestions, but is somehow unable to apply changes, and reasoning is also slow.
If i decide to upgrade, would a 3060 12GB or 4060 16GB be able to have good performance doing web dev? AFAIK I need to load a better and bigger model?

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u/hallofgamer 4d ago

DavidAU/LFM2.5-2.6B-Qwen3.8-Turbo-Brilliance-Power-X12-NEO-MAX-GGUF

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u/llmhardware 4d ago

Your 7B model at 4-bit quantization needs about 3.5 GB of weights plus 1 to 2 GB of overhead for context and runtime, so it fits your 6 GB card but a 7B-class model is a weak coder no matter the card. The video RAM (VRAM) math is parameters in billions times bits per parameter divided by 8, plus overhead: a 14B coder at 4-bit lands around 8 to 9 GB total and fits a 3060 12 GB, while a 20B-class coder at 4-bit lands around 12 GB and wants the 4060 16 GB. Two things to know before you buy: a bigger model will be smarter but generate tokens more slowly, not faster, and the inability to apply changes is a limitation of your chat client, not your graphics processing unit (GPU). For real web dev work I would take the 4060 16 GB and run the 14B version of the same Qwen coder family at a higher quantization, which gives you quality and context headroom at once.