OPT vs. Phi

Overview

Open Pre-trained Transformer Language Models (OPT) is part of the family of open source models designed to replicate GPT-3, with similar decoder-only architecture. It has since been superseded by models such as LLaMA, GPT-J, and Pythia.

Initial release: 2022-05-03

Reference

https://github.com/facebookresearch/metaseq/tree/main/projects/OPT

Further Reading

Overview

Phi is Microsoft's family of compact open models designed for efficient local and edge deployment. Phi-4 is the current generation.

Microsoft introduced Phi-1 and Phi-2 to demonstrate how carefully curated and synthetic training data can make small models unusually capable. Phi-3 expanded the family for mobile and multimodal use. The Phi-4 generation includes a 14B general model and reasoning variants, plus smaller and multimodal checkpoints. Phi models are released under the MIT license and are designed for research, local inference, and resource-constrained production workloads.

Initial release: 2023-06-20

Current generation: Phi-4

Reference

https://azure.microsoft.com/en-us/products/phi

Further Reading

• https://huggingface.co/microsoft/phi-2
• https://arxiv.org/abs/2306.11644
• https://huggingface.co/microsoft/phi-4