OPT was first introduced in Open Pre-trained Transformer Language Models and first released in metaseq's repository on May 3rd 2022 by Meta AI. Disclaimer : The team releasing OPT wrote an official model card, which is available in Appendix D of the paper .

OPT Overview. The OPT model was proposed in Open Pre-trained Transformer Language Models by Meta AI. OPT is a series of open-sourced large causal language models which perform similar in performance to GPT3. The abstract from the paper is the following:

May 3, 2022 · Meta AI is sharing OPT-175B, the first 175-billion-parameter language model to be made available to the broader AI research community.

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May 2, 2022 · We present Open Pre-trained Transformers (OPT), a suite of decoder-only pre-trained transformers ranging from 125M to 175B parameters, which we aim to fully and responsibly share with interested researchers.

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Jul 26, 2022 · OPT-175B was the first such model to be made freely available to the research community, providing an important new resource to accelerate work in this area of AI and ultimately help create safer, more useful, and more robust language generation systems.

OPT-175B is a GPT-3 equivalent model trained by Meta. It is by far the largest pretrained language model available with 175 billion parameters. You can request the access to the trained weights by filling this form. For detailed performance of OPT-175B, check the OPT paper.

20 hours ago · Reuters. FILE PHOTO: Woman holds smartphone with Meta logo in front of a displayed Facebook's new rebrand logo Meta in this illustration picture taken October 28, 2021.