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Meta's family of openly released large language models, influential for bringing strong, locally runnable models to researchers and developers.
Llama, introduced by Touvron et al. (2023), is a series of foundation models released with open weights. The first release showed that models trained on public data could match much larger closed models, and its open availability catalysed a large ecosystem of fine-tuned, on-device and research variants.
Llama is the canonical example of an open-weight model, contrasting with API-only systems like GPT-4, Claude and Gemini.
Primary, peer-reviewed and archival sources for this definition.
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