Llama is a family of large language models developed and open-sourced by Meta, designed to provide high-performance, customizable, and easy-to-deploy AI solutions; the latest generation is Llama 4.
The Llama 4 series mainly includes Scout (lightweight and efficient), Maverick (high performance), and Behemoth Preview (very large parameters), each targeting different scales and performance needs.
Developers can create an API key on the official website and use it via the interactive Playground or Python/TypeScript SDK; currently a time-limited free preview is available for developers in the United States.
Yes. Users can directly download the open-source model for local deployment, ensuring data privacy and reducing long-term usage costs, with appropriate quantization.
Llama 4 has native multimodal capabilities, unifying text and image inputs through early fusion techniques, supporting complex multi-image understanding tasks.
Llama is available on major cloud platforms including AWS Bedrock, Microsoft Azure, Google Cloud, Baidu AI Cloud, and Alibaba Cloud Model Studio.
Llama 4 is Meta's next-generation open-source multi-modal AI model, featuring extended context and advanced reasoning capabilities to help developers and enterprises efficiently build and deploy intelligent applications.
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