Meta Llama

Meta Llama is a collection of state-of-the-art open-source large language models developed by Meta AI, designed to democratize access to frontier AI technology. The Llama family of models has evolved rapidly, with the latest Llama 3.1 collection introducing unprecedented capabilities and accessibility to the open-source AI community.

The Llama ecosystem spans multiple model sizes (from 8B to 405B parameters) to accommodate various computational constraints and use cases. The flagship Llama 3.1 405B model represents a significant milestone as the first frontier-level open-source AI model that rivals the capabilities of leading closed-source models. These models support diverse applications including reasoning, coding, creative writing, summarization, and knowledge-based question answering.

A standout feature of the latest Llama models is their extended context window of 128K tokens, enabling processing of substantially longer inputs than previous generations. The models also offer enhanced multilingual support across eight languages, expanding their global utility. Architecturally, Llama models utilize a decoder-only transformer design optimized for inference efficiency, with improvements like grouped query attention (GQA) and a 128K token vocabulary that encodes language more effectively.

Meta's commitment to responsible AI is evident in the Llama ecosystem''s comprehensive safety tools, including Llama Guard for content moderation, Code Shield for secure code generation, and CyberSec Eval for security vulnerability testing. These tools help developers deploy Llama models responsibly while maintaining flexibility for customization.

The Llama models are available through a permissive license that allows both commercial and research use, with accessible deployment options through major cloud providers including AWS, Microsoft Azure, Google Cloud, and others. Meta also provides hardware support through partnerships with AMD, NVIDIA, Intel, and Qualcomm, making Llama models deployable across diverse computing environments.

By releasing these powerful models openly, Meta aims to foster innovation across the AI ecosystem, from applications to developer tools, evaluation methods, and inference optimizations, while promoting responsible development practices through transparency and collaboration.