OPT : Open Pre trained Transformer Language Models 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. Content from this model card has been written by the Hugging Face team. Intro To quote the first two paragraphs of the official paper Large language models trained on massive text collections have shown surprising emergent capabilities to generate text and perform zero and few shot learning. While in some cases the public can interact with these models through paid APIs, full model access is currently limited to only a few highly resourced labs. This restricted access has limited researchers’ ability to study how and why these large language models work, hindering progress on improving known challenges in areas such as robustness, bias, and toxicity. We present Open Pretrained 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. We train the OPT models to…
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