A codebase for working with Open Pre-trained Transformers.

The OPT 125M--66B models are now available in HuggingFace Transformers. You can access them under the facebook organization on the Hugging Face Hub

The OPT 125M--175B models are now supported in the Alpa project, which enables serving OPT-175B with more flexible parallelisms on older generations of GPUs, such as 40GB A100, V100, T4, M60, etc.

The OPT models are now supported in the Colossal-AI, which helps users to efficiently and quickly deploy OPT models training and inference, reducing large AI model budgets and scaling down the labor cost of learning and deployment.

Follow setup instructions here to get started.

• Training
• API

• Background & relationship to fairseq
• Chronicles of training OPT-175B

If you have any questions, bug reports, or feature requests regarding either the codebase or the models released in the projects section, please don't hesitate to post on our Github Issues page.

Please remember to follow our Code of Conduct.

We welcome PRs from the community!

You can find information about contributing to metaseq in our Contributing document.

Metaseq is currently maintained by the CODEOWNERS: Susan Zhang, Stephen Roller, Naman Goyal, Punit Singh Koura, Moya Chen, and Kurt Shuster.

Previous maintainers include: Anjali Sridhar, Christopher Dewan.

The majority of metaseq is licensed under the MIT license, however portions of the project are available under separate license terms:

• Megatron-LM is licensed under the Megatron-LM license