MPT-7B-Instruct, developed by MosaicML, is a short-form instruction-following model built by fine-tuning the original MPT-7B and can be accessed via the Clarifai API. It is a decoder-style transformer with 6.7 billion parameters, trained on a trillion tokens of text and code, and excels in tasks requiring the accurate processing of natural language instructions. Potential applications include language understanding, automation, and chatbot dialogue systems, with evaluations indicating strong performance on instruction-following tasks and zero-shot academic benchmarks. However, the model's effectiveness may vary with language and context length, requiring precise instructions for optimal results. Despite these limitations, MPT-7B-Instruct is a powerful tool for various natural language processing tasks, with ongoing updates and community engagement facilitated through platforms like Twitter and Slack.