GPT-J is a GPT-2-like causal language model trained on the Pile dataset with 6 billion parameters.

Intended Use

GPT-J is intended to generate text in a variety of contexts, such as chatbots, language translation, and content creation.


GPT-J has shown impressive performance in generating coherent and contextually relevant text, with some users reporting that it performs on par with GPT-3.


One limitation of GPT-J is its large size, which can make it difficult to run on some systems. Additionally, like other language models, GPT-J may generate biased or inappropriate content if not properly trained and monitored.


HuggingFace - GPT-J:
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