Phi vs. WizardLM

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

WizardLM is a variant of LLaMA trained with complex instructions.

WizardLM is a LLM based on LLaMA trained using a new method, called Evol-Instruct, on complex instruction data. By using AI to "evolve" instructions, WizardLM outperforms similar LLaMA-based LLMs trained on simpler instruction data. On the 6th of July, 2023, WizardLM V1.1 was released with significantly improved performance, and as of 15 April 2024, WizardLM-2 was released with state-of-the-art performance.

Initial release: 2023-05-26

Reference

https://github.com/nlpxucan/WizardLM

Further Reading

• https://huggingface.co/WizardLM
• https://arxiv.org/abs/2304.12244
• https://www.reddit.com/r/LocalLLaMA/comments/142iw20/official_wizardlm30b_v10_released_can_beat/