Phi vs. Pythia
LLM Comparison
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
Pythia
Overview
The most recent (as of May 2023) effort from EleutherAI, Pythia is a set of LLMs trained on The Pile. While it appears to outperform OPT and GPTNeo, its performance against GPT-J is unclear. Versions of Pythia have also been instruct-tuned by the team at Together.
Initial release: 2023-02-13
Reference
Further Reading
Looking for an LLM API/SDK that works out of the box? No prompts or ad hoc guardrails.
Sapling APIMore Comparisons
Phi |
Pythia |
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| Products & Features | ||
| Instruct Models | ||
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| Customization | ||
| Finetuning | ||
| Open Source | ||
| License | MIT | Apache 2.0 |
| Model Sizes | 1.3B, 2.7B | 1B, 1.4B, 2.8B, 6.9B, 12B |