MPT vs. Phi

Overview

MPT-7B and MPT-30B are a set of models that are part of MosaicML's Foundation Series. Trained on 1T tokens, the developers state that MPT-7B matches the performance of LLaMA while also being open source, while MPT-30B outperforms the original GPT-3. In addition to the base model, the developers also offer MPT-Instruct, MPT-Chat, and MPT-7B-StoryWriter-65k+, the last of which is trained on a context length of 65K tokens.

Initial release: 2023-05-05

Reference

https://www.mosaicml.com/blog/mpt-30b

Further Reading

• https://www.mosaicml.com/blog/mpt-7b
• https://huggingface.co/mosaicml

Overview

Phi is a series of compact language models developed by Microsoft using textbooks and synthetic data.

Phi-1 and Phi-2 are 1.3B and 2.7B parameter language models, respectively, developed by Microsoft to demonstrate the ability of smaller language models trained on high-quality data. Despite its size and not having an instruct finetuned counterpart, the Phi-2 model is well-suited to research and experimentation given its size and MIT license.

Initial release: 2023-06-20

Reference

https://ai.azure.com/explore/models/microsoft-phi-2/version/4/registry/azureml-msr

Further Reading

• https://huggingface.co/microsoft/phi-2
• https://arxiv.org/abs/2306.11644