gpt-neox-japanese-2.7b is a 2.7 billion parameter causal language model based on the GPT-NeoX architecture, pretrained specifically on Japanese text. It is designed for Japanese text generation and other NLP tasks. The model is available on Hugging Face and can be used with the Transformers library by developers working with Japanese language applications.
Gpt Neox Japanese 2.7b is a Foundation models & chat product. It focuses on generating high-quality Japanese text using an open-source large language model. Gpt Neox Japanese 2.7b is an open-source project aimed at developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
Behind Gpt Neox Japanese 2.7b is ABEJA, based in Japan, and the product first shipped in 2018. The project is developed in the open on GitHub with 162.8k stars and 745 commits in the last 90 days. Among its 3 catalogued features are japanese text generation, causal language modeling, and pretrained on Japanese data.
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