Running a large language model on your own computer gives you an AI assistant that keeps your data private and avoids subscription fees. These local LLMs can handle coding, writing, and research without sending anything to the cloud, though they require more maintenance than cloud services.
To get started, you’ll need a computer with at least 8 GB of RAM, though 16 GB or more is better for larger models. A dedicated GPU with 8 GB or more of VRAM will improve performance, especially on Windows where Nvidia graphics cards are preferred. Free software like LM Studio Bionic, Ollama, or GPT4All provides the interface, while repositories such as Hugging Face offer thousands of downloadable models.
Setting up LM Studio Bionic on Windows involves downloading the app, creating a project, and selecting a model from the built-in picker. Smaller models load faster and use less space, while larger ones offer more capability. The interface mimics standard AI chatbots, with options to manage projects, customize settings, and handle multimodal inputs like images or documents.
