Llama is Meta’s family of open, state-of-the-art large language and multimodal models designed for developers, researchers, and enterprises who need high-performance AI they can customize and deploy at scale. The Llama 4 generation, including the Scout and Maverick models, supports natural language understanding, content generation, and multimodal reasoning across text, images, and other inputs. Its primary purpose is to provide a flexible, efficient foundation for building AI-powered applications, from chatbots and agents to domain-specific copilots and analytics tools.

Llama offers competitive performance on industry benchmarks while emphasizing low latency, cost efficiency, and strong tooling for fine-tuning and optimization. The Scout and Maverick variants are optimized for different deployment needs, such as high-throughput server environments, on-device inference, and edge scenarios. The platform supports multimodal capabilities, enabling applications that can interpret and generate text grounded in visual or other contextual inputs. Llama also integrates with popular machine learning frameworks and inference stacks, simplifying experimentation, evaluation, and production deployment.

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