A side-by-side comparison of release history, capabilities, licensing and model sizes.
| Attribute |
 MPT
|
 OPT
|
|---|---|---|
| Developer | MosaicML | Meta |
| Current generation | – | – |
| Initial release | 2023-05-05 | 2022-05-03 |
| Instruct tuned | Yes | No |
| Coding | No | No |
| Finetuning | Yes | Yes |
| Open source | Yes | Yes |
| License | Apache 2.0 | NA |
| Model sizes | 7B, 30B | 1.3B, 2.7B, 6.7B, 13B, 30B, 66B, 175B |
| Links |
MPT-7B and MPT-30B are a set of models that are part of MosaicML's Foundation Series. Trained on 1T tokens, the developers state that MPT-7B matches the performance of LLaMA while also being open source, while MPT-30B outperforms the original GPT-3. In addition to the base model, the developers also offer MPT-Instruct, MPT-Chat, and MPT-7B-StoryWriter-65k+, the last of which is trained on a context length of 65K tokens.
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 It has since been superseded by models such as LLaMA, GPT-J, and Pythia.
