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LLaMA vs. Phi

LLM Comparison


LLaMA

LLaMA

Overview

LLaMA was previously Meta AI's most performant LLM available for researchers and noncommercial use cases. It has since been succeeded by Llama 2.


The model that launched a frenzy in open-source instruct-finetuned models, LLaMA is Meta AI's more parameter-efficient, open alternative to large commercial LLMs. Despite being smaller than many commercial models, LLaMA outperformed the gold standard GPT-3 on many benchmarks, with the primary drawback being that its access remains gated to researchers with restrictions on commercial use.


Initial release: 2023-02-24

Phi

Phi

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

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LLaMA

Phi

Products & Features
Instruct Models
Coding Capability
Customization
Finetuning
Open Source
License Noncommercial MIT
Model Sizes 7B, 13B, 33B, 65B 1.3B, 2.7B