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How to run an LLM on your PC, not in the cloud, in less than 10 minutes

Jun 23, 2024 - theregister.com
The article discusses how to use large language models (LLMs) on a home desktop system, focusing on the open-source tool Ollama. It explains that while dedicated accelerators are ideal for running LLMs, Ollama can also run on an AVX2-compatible CPU, albeit slower. The tool supports Nvidia and Apple’s M-series GPUs, and as of June 6, 2024, it has begun rolling out native support for select AMD Radeon 6000-and 7000-series cards. The article provides a guide on installing Ollama and running models on it, with a focus on the Mistral 7B model.

The article also explains the concept of quantization, a technique used to compress the model by converting its weights and activations to a lower precision, allowing models to run within limited GPU or system RAM. It provides instructions on managing, updating, and removing installed models using Ollama. The article concludes by encouraging readers to share their AI PC questions and reminds them of the importance of supply chain security.

Key takeaways:

  • The desktop system you're using is likely capable of running a wide range of large language models (LLMs), including chat bots and source code generators.
  • Ollama is a tool that can be used to run these models on your system, and it works across Windows, Linux, and Macs.
  • Large language models run best with dedicated accelerators, but Ollama can still run on an AVX2-compatible CPU if you don't have a supported graphics card.
  • Installing and managing Ollama is straightforward, and it allows you to run, update, and remove installed models easily.
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