LLaMA

LLaMA

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LLaMA (Large Language Model Meta AI) is a state-of-the-art foundational large language model developed by Meta AI. It’s designed to help researchers advance their work in this subfield of AI. LLaMA is smaller and more performant, enabling researchers who don’t have access to large amounts of infrastructure to study these models. It’s ideal for fine-tuning for various tasks due to its training on a large set of unlabeled data. LLaMA is available at several sizes (7B, 13B, 33B, and 65B parameters) and is accompanied by a model card detailing its construction in line with Responsible AI practices.

Key Features and Use Cases:

• LLaMA is a state-of-the-art foundational large language model designed to help researchers advance their work in AI.
• It’s smaller and more performant, enabling researchers who don’t have access to large amounts of infrastructure to study these models.
• LLaMA is ideal for fine-tuning for various tasks due to its training on a large set of unlabeled data.
• It’s available in several sizes (7B, 13B, 33B, and 65B parameters).
• LLaMA is accompanied by a model card detailing its construction in line with Responsible AI practices.

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