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A user running local LLMs on an 8GB VRAM GPU found that a 2B parameter model handles 90% of daily tasks like explaining concepts and summarizing. Larger models like Qwen 3.5 9B consumed all GPU resources and limited context windows. The smaller model proved more practical for common chatbot-style use.
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