Local AI on the Laptop: How Well LM Studio Works in Everyday Life
Large language models don't need to be massive to function well. Can they run locally on mid-range laptops? t3n Tool Time investigates.
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Large language models don't need to be as massive anymore to function well. But can they also run locally on mid-range laptops? t3n Tool Time clarifies this.
Nowadays, most people using generative AI do so through a chat interface in their browser. Tools like ChatGPT or Claude have hundreds of millions of users, and even though discussions in professional circles revolve more around agent-based coding or complex automations, regular users hardly come into contact with these.
However, it is no longer necessary to have an account with OpenAI, Google, or Anthropic to utilize AI. You don't even need an internet connection anymore. Open-weight models like Qwen or GLM can also be run on your own hardware. Big names like Nvidia or Google also offer smaller, more open models with Nemotron and Gemma, which you can download and use for free.
AI Tools on Your Own Computer: Can Local AI Models Like Qwen Impress?
However, running top models in the open-weight space requires powerful hardware. Without at least a consumer graphics card from Nvidia's RTX series, most models will leave you disappointed.
But: There are models that are small enough to run on a laptop. For t3n Tool Time, we tested how well these models really perform using the software LM Studio. Can they reliably handle standard tasks now? How do they compare to the large language models? And does free really mean free?
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