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Llama 2 vs. Phi

LLM Comparison


Llama 2

Llama 2

Overview

Llama 2 is Meta AI's open source LLM available for both research and commercial use cases (assuming you're not one of the top consumer companies in the world).


The successor to LLaMA (henceforce "Llama 1"), Llama 2 was trained on 40% more data, has double the context length, and was tuned on a large dataset of human preferences (over 1 million such annotations) to ensure helpfulness and safety. It outperforms other open source models on both natural language understanding datasets as well as in head-to-head face-offs.


Initial release: 2023-07-18

Phi

Phi

Overview

Phi is a series of compact language models developed by Microsoft using high-quality synthetic data and curated web content. Phi-3 and Phi-3.5 (2024) significantly raised the bar for small models, with the 3.8B Phi-3 Mini matching much larger open-source models on key benchmarks.


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. In April 2024, Phi-3 was released across Mini (3.8B), Small (7B), and Medium (14B) sizes. Phi-3 Mini achieves performance competitive with Llama 3 8B and Mistral 7B at a fraction of the compute, making it ideal for edge and constrained-resource deployments. Phi-3.5 Mini and MoE followed in August 2024 with further improvements.


Initial release: 2023-06-20

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Llama 2

Phi

Products & Features
Instruct Models
Coding Capability
Customization
Finetuning
Open Source
License Custom (Commercial OK) MIT
Model Sizes 7B, 13B, 70B 1.3B, 2.7B, 3.8B, 7B, 14B