Ollama

You only need an internet connection to initially download the Ollama software and the large language models (LLMs) from the Ollama registry. Once the model, such as Llama 3, is downloaded to your local hard drive, you can run it completely offline. This makes Ollama highly desirable for developers handling sensitive, private data who cannot send information to cloud-based APIs.

Once you have installed the Ollama command-line interface, downloading Llama 3 is as simple as opening your terminal and typing `ollama run llama3`. The CLI will automatically fetch the correct model files from the Ollama registry and initialize a local chat session. This extreme simplicity is Ollama's main advantage over more complex, traditional machine learning deployment frameworks.

Yes, when you run Ollama, it automatically spins up a local REST API server, typically found running on port 11434. Developers can send HTTP POST requests to this local endpoint to integrate local LLMs into their own custom web apps, scripts, or automation tools. This API is intentionally designed to be compatible with OpenAI's structure, making it very easy to swap out cloud calls for local calls.

When Ollama is actively generating a response, it will consume a significant amount of your CPU and RAM (or GPU if supported) to process the heavy language model. The larger the model parameters (e.g., an 8B model vs a 70B model), the more system resources it will demand. However, when the model is idle and not processing prompts, it unloads from memory and will not noticeably slow down your computer.