LM Studio is a powerful language model management and execution system, allowing local operation of models like ChatGPT, Llama, and Qwen3 on laptops. The Acer Swift Go 16 AI shows that limited memory impacts performance more than processing power; for instance, OpenAI’s new gpt-oss 20B fails due to insufficient RAM. Our testing confirms seamless operation on laptops equipped with AMD Ryzen 9 370 and 32GB RAM. Qwen3 Vi 8B and IBM’s Granite 4 H Tiny models perform impressively on the Acer, with IBM’s version offering rapid responses and Qwen3 Vi 8B showcasing a natural speech tone. While Qwen3 4B Thinking is slower, it ultimately delivers impressive answers, albeit taking up to five minutes for complex queries. Users can observe the model’s reasoning process in real-time. Anticipate 3 to 7 GB usage per model on SSDs, with smaller language models proving to be highly versatile and efficient.
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