Llama is Meta's open-weight model family and one of the most influential forces in the open model ecosystem. It is widely used by companies, researchers, and community developers for private deployment, fine-tuning, distillation, quantization, local inference, edge devices, and open-source application stacks.

The key to understanding Llama is the ecosystem created by open weights: developers can build inference frameworks, quantization tools, fine-tuning recipes, datasets, and application templates around it. It gives more teams a way to use large models on their own devices or servers instead of relying entirely on closed platforms.