It utilizes a modified transformer architecture for better efficiency and matches the quality of other LLMs while being open-source. It is designed for efficient training and inference, suitable for commercial use and outperforms other models in various benchmarks.Īs a large language model (LLM), MPT-7B is trained from scratch on 1T tokens of text and code.

MPT-7B is a large language model developed by MosaicML and available on Hugging Face for easy usage.

By offering powerful performance and extensive functionality, MPT-7B emerges as a leading contender in the global LLM landscape. MPT-7B’s lineup includes various specialized models like MPT-7B-Instruct, MPT-7B-Chat, and MPT-7B-StoryWriter-65k+, each catering to different use cases.

This model not only offers unparalleled quality but also mirrors the performance of Meta’s LLaMA-7B while maintaining an open-source status, making it ideal for commercial use. MosaicML achieved an impressive feat by training MPT-7B on their platform in just 9.5 days, with zero human intervention, at a cost of around $200,000. As a part of the MosaicPretrainedTransformer (MPT) family, it utilizes a modified transformer architecture, optimized for efficient training and inference, setting a new standard for open-source, commercially usable language models. With nearly 7 billion parameters, MPT-7B offers impressive performance and has been trained on a diverse dataset of 1 trillion tokens, including text and code. MPT-7B is a large language model (LLM) standard developed by MosaicML, for open-source, commercially usable LLMs and a groundbreaking innovation in natural language processing technology.

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