KORMo: Korean Open Reasoning Model for Everyone

An open-source hub for Korean language data and model research

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🧠 Open Models

• KORMo-Team/KORMo-tokenizer — A tokenizer optimized for bilingual (Korean–English) language representation
• KORMo-Team/KORMo-10B-base — The KORMo-10B pretrained model trained on large-scale Korean and English corpora
• KORMo-Team/KORMo-10B-sft — A fine-tuned model enhanced with long-context reasoning and instruction-following data
• KORMo-Team/KORMo-10B-inst — Final instruction-tuned model with reasoning enhancement and RL (Coming soon; currently awaiting GPU availability)

💡 You can explore the full training history and checkpoints in each model’s Revisions tab on Hugging Face.

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🌐 Links

• Technical Report — https://arxiv.org/pdf/2510.09426
• Technical Report(Slide-Korean) — https://github.com/MLP-Lab/KORMo-tutorial/blob/main/20251009_MLP_KORMo(Korean).pdf
• Tutorial on Github — https://github.com/MLP-Lab/KORMo-tutorial
• Tutorial on youtube — https://www.youtube.com/@MLPLab

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📖 About KORMo

KORMo is an open research initiative dedicated to advancing Korean language understanding and generation through large-scale, fully open-source models and datasets.
We aim to make Korean NLP research transparent, reproducible, and accessible to the global community.