This is a small randomly initialized model based on the GPTNeoXJapanese architecture. It is published by optimum-intel-internal-testing on Hugging Face specifically for testing and validating the Optimum Intel optimization stack. The model uses PyTorch and is intended for developers working on Japanese language model tooling.
Tiny Random GPTNeoXJapaneseForCausalLM sits in PulseGate's Foundation models & chat category. It focuses on testing Japanese language model pipelines and optimization tools at minimal scale. It is built as an open-source project for AI developers. The project is open source (Open Source). It ships for the web and API.
It is developed by Hugging Face, and it first shipped in 2025.
Summary written by a language model from the project’s public pages.
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