Bought an RTX 5060 for local LLMs — complex tasks scored 2/10 vs 9/10 in the cloud
Tricky-Brother-7 · reddit · 2026-10-06
A user who spent ₹30,000 on an RTX 5060 (8GB VRAM) reports that quantized 7B–13B local models score roughly 2/10 on real work — multi-step reasoning, long coherent context, instruction following, structured output — collapsing mid-task with mangled context and broken schemas, while cloud models hit 9/10 in one or two tries.
He wanted the open-weights-underdog story to win and concludes the "local LLM supremacy" narrative rests on easy prompts and wishful thinking, asking whether any quantization or fine-tune stack makes 8–12GB cards viable for serious tasks.
Related event: Local LLMs on RTX 5060 Fall Far Behind Cloud Models in Real-World Test(2 posts)→
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