Phi vs. Vicuna

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

Overview

Released alongside Koala, Vicuna is one of many descendants of the Meta LLaMA model trained on dialogue data collected from the ShareGPT website. According to the authors, Vicuna achieves more than 90% of ChatGPT's quality in user preference tests, while vastly outperforming Alpaca. As of May 2023, Vicuna seems to be the heir apparent of the instruct-finetuned LLaMA model family, though it is also restricted from commercial use.

Initial release: 2023-03-30

Reference

https://vicuna.lmsys.org/

Further Reading

• https://lmsys.org/blog/2023-03-30-vicuna/