description OPT Overview
The Open Pre-trained Transformers (OPT) are a suite of large language models released by Meta AI in 2022. The suite includes models ranging from 125 million to 175 billion parameters, with the largest model specifically designed to match the scale and architecture of OpenAI's GPT-3. Meta released the models to provide the scientific community with access to a fully open, traceable system, complete with training code, model weights, and the training logbook. This release allowed academic and independent researchers to study the capabilities and limitations of massive language models without relying on proprietary APIs.
help OPT FAQ
What is the OPT model suite?
OPT stands for Open Pre-trained Transformer, a suite of language models released by Meta in 2022. The suite was designed to replicate the scale of GPT-3 while allowing the research community open access.
How large are the OPT models?
The OPT suite includes models ranging from 125 million parameters all the way up to a massive 175 billion parameters. The 175B version was built to be directly comparable in scale to OpenAI's GPT-3.
Why was Meta's release of the OPT models significant?
Meta released the models with full weights and training code, which was highly unusual for a model of that size at the time. This open approach enabled academic and independent researchers to conduct GPT-3-scale research without massive corporate budgets.
What license is Meta's OPT model released under?
The OPT models were released under a specific OPT license that allows for both research and commercial use. However, users are encouraged to review the specific acceptable use policies outlined by Meta.
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