japanese-gpt-neox-small
443.1K
15
2K
Small context
119M
3 languages
license:mit
by
rinna
Language Model
OTHER
Good
443K downloads
Production-ready
Edge AI:
Mobile
Laptop
Server
1GB+ RAM
Mobile
Laptop
Server
Quick Summary
--- language: ja thumbnail: https://github.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
1GB+ RAM
Training Data Analysis
🟢 Excellent (8.0/10)
Researched training datasets used by japanese-gpt-neox-small with quality assessment
Specialized For
code
general
science
multilingual
Training Datasets (1)
the pile
🟢 8/10
code
general
science
multilingual
Key Strengths
- •Deliberate Diversity: Explicitly curated to include diverse content types (academia, code, Q&A, book...
- •Documented Quality: Each component dataset is thoroughly documented with rationale for inclusion, en...
- •Epoch Weighting: Component datasets receive different training epochs based on perceived quality, al...
Explore our comprehensive training dataset analysis
View All DatasetsCode Examples
Release datebibtex
@misc{rinna-japanese-gpt-neox-small,
title = {rinna/japanese-gpt-neox-small},
author = {Zhao, Tianyu and Sawada, Kei},
url = {https://huggingface.co/rinna/japanese-gpt-neox-small}
}
@inproceedings{sawada2024release,
title = {Release of Pre-Trained Models for the {J}apanese Language},
author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
month = {5},
year = {2024},
pages = {13898--13905},
url = {https://aclanthology.org/2024.lrec-main.1213},
note = {\url{https://arxiv.org/abs/2404.01657}}
}Release datebibtex
@misc{rinna-japanese-gpt-neox-small,
title = {rinna/japanese-gpt-neox-small},
author = {Zhao, Tianyu and Sawada, Kei},
url = {https://huggingface.co/rinna/japanese-gpt-neox-small}
}
@inproceedings{sawada2024release,
title = {Release of Pre-Trained Models for the {J}apanese Language},
author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
month = {5},
year = {2024},
pages = {13898--13905},
url = {https://aclanthology.org/2024.lrec-main.1213},
note = {\url{https://arxiv.org/abs/2404.01657}}
}Release datebibtex
@misc{rinna-japanese-gpt-neox-small,
title = {rinna/japanese-gpt-neox-small},
author = {Zhao, Tianyu and Sawada, Kei},
url = {https://huggingface.co/rinna/japanese-gpt-neox-small}
}
@inproceedings{sawada2024release,
title = {Release of Pre-Trained Models for the {J}apanese Language},
author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
month = {5},
year = {2024},
pages = {13898--13905},
url = {https://aclanthology.org/2024.lrec-main.1213},
note = {\url{https://arxiv.org/abs/2404.01657}}
}Release datebibtex
@misc{rinna-japanese-gpt-neox-small,
title = {rinna/japanese-gpt-neox-small},
author = {Zhao, Tianyu and Sawada, Kei},
url = {https://huggingface.co/rinna/japanese-gpt-neox-small}
}
@inproceedings{sawada2024release,
title = {Release of Pre-Trained Models for the {J}apanese Language},
author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
month = {5},
year = {2024},
pages = {13898--13905},
url = {https://aclanthology.org/2024.lrec-main.1213},
note = {\url{https://arxiv.org/abs/2404.01657}}
}Release datebibtex
@misc{rinna-japanese-gpt-neox-small,
title = {rinna/japanese-gpt-neox-small},
author = {Zhao, Tianyu and Sawada, Kei},
url = {https://huggingface.co/rinna/japanese-gpt-neox-small}
}
@inproceedings{sawada2024release,
title = {Release of Pre-Trained Models for the {J}apanese Language},
author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
month = {5},
year = {2024},
pages = {13898--13905},
url = {https://aclanthology.org/2024.lrec-main.1213},
note = {\url{https://arxiv.org/abs/2404.01657}}
}Release datebibtex
@misc{rinna-japanese-gpt-neox-small,
title = {rinna/japanese-gpt-neox-small},
author = {Zhao, Tianyu and Sawada, Kei},
url = {https://huggingface.co/rinna/japanese-gpt-neox-small}
}
@inproceedings{sawada2024release,
title = {Release of Pre-Trained Models for the {J}apanese Language},
author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
month = {5},
year = {2024},
pages = {13898--13905},
url = {https://aclanthology.org/2024.lrec-main.1213},
note = {\url{https://arxiv.org/abs/2404.01657}}
}Release datebibtex
@misc{rinna-japanese-gpt-neox-small,
title = {rinna/japanese-gpt-neox-small},
author = {Zhao, Tianyu and Sawada, Kei},
url = {https://huggingface.co/rinna/japanese-gpt-neox-small}
}
@inproceedings{sawada2024release,
title = {Release of Pre-Trained Models for the {J}apanese Language},
author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
month = {5},
year = {2024},
pages = {13898--13905},
url = {https://aclanthology.org/2024.lrec-main.1213},
note = {\url{https://arxiv.org/abs/2404.01657}}
}Release datebibtex
@misc{rinna-japanese-gpt-neox-small,
title = {rinna/japanese-gpt-neox-small},
author = {Zhao, Tianyu and Sawada, Kei},
url = {https://huggingface.co/rinna/japanese-gpt-neox-small}
}
@inproceedings{sawada2024release,
title = {Release of Pre-Trained Models for the {J}apanese Language},
author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
month = {5},
year = {2024},
pages = {13898--13905},
url = {https://aclanthology.org/2024.lrec-main.1213},
note = {\url{https://arxiv.org/abs/2404.01657}}
}Release datebibtex
@misc{rinna-japanese-gpt-neox-small,
title = {rinna/japanese-gpt-neox-small},
author = {Zhao, Tianyu and Sawada, Kei},
url = {https://huggingface.co/rinna/japanese-gpt-neox-small}
}
@inproceedings{sawada2024release,
title = {Release of Pre-Trained Models for the {J}apanese Language},
author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
month = {5},
year = {2024},
pages = {13898--13905},
url = {https://aclanthology.org/2024.lrec-main.1213},
note = {\url{https://arxiv.org/abs/2404.01657}}
}Deploy This Model
Production-ready deployment in minutes
Together.ai
Instant API access to this model
Production-ready inference API. Start free, scale to millions.
Try Free APIReplicate
One-click model deployment
Run models in the cloud with simple API. No DevOps required.
Deploy NowDisclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.