How to Run a Chatbot on Your Own Computer
Installing a large language model on your personal computer gives you a handy digital assistant that won’t compromise your data privacy.
Running a chatbot on your own computer is an option that gives you offline access and enhanced privacy, as you're not sending data to the cloud or paying subscription fees. Numerous large language models (LLMs) are available for free download from reputable sources like Meta and Google. While these models may not be as advanced as those in paid services, they are still capable for everyday use. However, they require more maintenance compared to subscription-based services.
To get started, you'll need a computer running Windows, macOS, or Linux, with at least 8 GB of RAM for basic functionality. For optimal performance, 16 GB or more is recommended, and 32 GB or more is needed for the largest and fastest models. Additionally, a dedicated GPU with at least 8 GB of VRAM is essential, as graphics cards are better suited for AI tasks. Windows users may benefit from a dedicated Nvidia GPU, as these chips are optimized for AI processing.
There are various software options available to run LLMs on your computer, such as LM Studio Bionic, vLLM, Llama.cpp, Ollama, and GPT4All. These programs act as the interface between you and the model. Popular model repositories include Hugging Face, which offers over 3 million models. Some user-friendly options for beginners include LM Studio Bionic, available for free on Windows and macOS.
To set up LM Studio Bionic on Windows, download the installation file and launch the program. Create a new project and choose a model from the provided options. Smaller models are quicker to download and take up less storage space, while larger models offer more advanced functionality. Once the model is selected, you can interact with the chatbot similarly to other AI chatbot apps. The software allows you to manage files, install new models, and customize preferences as needed.
Written by urgent.news from Wired's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.