OPT
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 It has since been superseded by models such as LLaMA, GPT-J, and Pythia.
A side-by-side comparison of release history, capabilities, licensing and model sizes.
| Attribute |
 OPT
|
 Orca
|
|---|---|---|
| Developer | Meta | Microsoft |
| Current generation | – | – |
| Initial release | 2022-05-03 | 2023-06-05 |
| Instruct tuned | No | Yes |
| Coding | No | No |
| Finetuning | Yes | Yes |
| Open source | Yes | Yes |
| License | NA | Noncommercial |
| Model sizes | 1.3B, 2.7B, 6.7B, 13B, 30B, 66B, 175B | 13B |
| Links |
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 It has since been superseded by models such as LLaMA, GPT-J, and Pythia.
Orca is a descendant of LLaMA developed by Microsoft with finetuning on explanation traces obtained from GPT-4.
Orca-13B is a LLM developed by Microsoft. It is based on LLaMA with finetuning on complex explanation traces obtained from GPT-4. By using rich signals, Orca surpasses the performance of models such as Vicuna-13B on complex tasks. However, given its model backbone and the data used for its finetuning, Orca is under noncommercial use.