How to Run LLMs Locally Using Ollama: Setup Guide and Hardware Requirements

Ollama is a lightweight desktop application that simplifies downloading and running large language models locally by managing model weights and exposing a local API at http://localhost:11434. Running LLMs locally requires significant hardware, with a minimum of 16GB of VRAM recommended for PC and Linux users, while Apple Silicon Macs benefit from unified memory architecture that allows GPU access to system RAM. The tool supports integration with open-source coding agents, enabling fully autonomous, offline workflows without relying on cloud-based APIs or paid subscriptions. Model performance scales with parameter size, ranging from fast 8B models to highly accurate but slower 70B models that demand 48GB or more of VRAM. Smaller models used in agentic workflows can be prone to hallucinations and looping, so configuration and testing are essential to achieve reliable results.