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MosaicML Pretrained Transformer

A new standard for open-source, commercially usable LLMs
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What is MosaicML Pretrained Transformer?

It is a transformer trained from scratch on 1T tokens of text and code. It is open source, available for commercial use, and matches the quality of LLaMA-7B.
MosaicML Pretrained Transformer is a tool in the Large Language Models category of a tech stack.
MosaicML Pretrained Transformer is an open source tool with 4.1K GitHub stars and 529 GitHub forks. Here’s a link to MosaicML Pretrained Transformer's open source repository on GitHub

MosaicML Pretrained Transformer Integrations

Docker, PyTorch, CUDA, Hugging Face, and Log10 are some of the popular tools that integrate with MosaicML Pretrained Transformer. Here's a list of all 5 tools that integrate with MosaicML Pretrained Transformer.

MosaicML Pretrained Transformer's Features

  • Licensed for commercial use
  • Trained on a large amount of data
  • Prepared to handle extremely long inputs
  • Optimized for fast training and inference
  • Equipped with highly efficient open-source training code

MosaicML Pretrained Transformer Alternatives & Comparisons

What are some alternatives to MosaicML Pretrained Transformer?
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Mailgun
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Mandrill
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