Llama is a family of large language models developed by Meta that emphasizes efficiency and accessibility for a range of hardware. It uses transformer architecture and is trained on extensive text data to perform tasks such as text generation, summarization, translation, and instruction following. The model family includes multiple parameter sizes to balance performance and resource requirements, enabling deployment on consumer GPUs and other inference environments. It is released with licensing and documentation aimed at researchers and developers, highlighting capabilities for research, evaluation, and product integration. Emphasis is placed on optimization for speed, memory usage, and versatility across multilingual and domain-specific tasks.

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Llama

Open-weighted language model family for versatile text tasks.

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