A detailed guide for running large language models (LLMs) on personal computers has been published by software developer Abishek Muthian on his blog. The article provides a thorough overview of hardware requirements, essential tools, and recommended models for local LLM deployment.
Muthian emphasizes that while he uses high-end hardware including a Core i9 CPU and RTX 4090 GPU, users can run smaller models on less powerful systems. The guide highlights several key tools, including Ollama for model management, Open WebUI for user interface, and llamafile for simple deployment.
For specific applications, Muthian recommends different models: Llama3.2 for general queries, Deepseek-coder-v2 and Qwen2.5-coder for programming tasks, and Stable Diffusion for image generation. The developer maintains his system using WatchTower for container updates and manages model updates through Open Web UI.