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Phi vs. StableVicuna

LLM Comparison


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

StableVicuna

StableVicuna

Overview

StableVicuna is an RLHF finetune of Vicuna using datasets such as the OpenAssistant Conversations Dataset and the GPT4All Prompt Generations dataset.



Initial release: 2023-04-28

Looking for an LLM API/SDK that works out of the box? No prompts or ad hoc guardrails.

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Phi

StableVicuna

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