Running large language models locally
Model Shop
Image © sdecoret, 123RF.com
Ollama and Open WebUI let you join the AI revolution without relying on the cloud.
Large language models (LLMs) such as the ones used by OpenAI's [1] ChatGPT [2] are too resource intensive to run locally on your own computer. That's why they're deployed as online services that you pay for. However, since ChatGPT's release, some significant advancements have occurred around smaller LLMs. Many of these smaller LLMs are open source or have a liberal license (see the "Licenses" box). You can run them on your own computer without having to send your input to a cloud server and without having to pay a fee to an online service.
Because these LLMs are computationally intensive and need a lot of RAM, running them on your CPU can be slow. For optimal performance, you need a GPU – GPUs have many parallel compute cores and a lot of dedicated RAM. An NVIDIA or AMD GPU with 8GB RAM or more is recommended.
In addition to the hardware and the models, you also need software that enables you to run the models. One popular package is Ollama [3], named for Meta AI's large language model Llama [4]. Ollama is a command-line application that runs on Linux, macOS, and Windows, and you can also run it as a server that other software connects to.
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