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 It has since been superseded by models such as LLaMA, GPT-J, and Pythia.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
|
 RedPajama-INCITE
|
|---|---|---|
| Developer | Meta | Together |
| Current generation | – | – |
| Initial release | 2022-05-03 | 2023-05-05 |
| Instruct tuned | No | Yes |
| Coding | No | No |
| Finetuning | Yes | Yes |
| Open source | Yes | Yes |
| License | NA | Apache 2.0 |
| Model sizes | 1.3B, 2.7B, 6.7B, 13B, 30B, 66B, 175B | 3B, 7B |
| 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 It has since been superseded by models such as LLaMA, GPT-J, and Pythia.
RedPajama-INCITE is the first family of models trained on the RedPajama base dataset. The goal of the RedPajama-INCITE models is to replicate the LLaMA recipe but make the model fully open source under the Apache license. As of the initial release, the 3B parameter model is best-in-class, with the 7B parameter model in progress. Update as of June 6, 2023: the 7B parameter model was made available, outperforming other models of the same size.