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Open Source LLMs Score Again! Introducing MPT-7B, Commercially Usable and Free of Charge
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In this video, I introduce MPT-7B, the latest development in the MosaicML Foundation Series. It is a commercially-usable, open-source LLM that was trained on 1 trillion tokens of text and code.
Watch as we compare the MPT-7B to popular open-source LLMs like LLaMA series from Meta, the Pythia series from EleutherAI, the StableLM series from StabilityAI, and the OpenLLaMA model from Berkeley AI Research. See how MPT-7B surpasses these models in terms of commercial usability, training volume, input handling, training speed, and inference optimization.
The blog post can be found here:
Watch as we compare the MPT-7B to popular open-source LLMs like LLaMA series from Meta, the Pythia series from EleutherAI, the StableLM series from StabilityAI, and the OpenLLaMA model from Berkeley AI Research. See how MPT-7B surpasses these models in terms of commercial usability, training volume, input handling, training speed, and inference optimization.
The blog post can be found here:
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