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Large language models, such as GPT-3, BERT, and others, are trained on massive amounts of text data and contain billions of parameters. To efficiently store and distribute these models, various file formats have been developed by different organizations and frameworks. In this article, we’ll explore some of the most common file formats used for large language models and provide examples of how to load and run them using Python.