Korean Language Models & LLMs

15 repos

Pretrained and fine-tuned large language models optimized for Korean text generation and understanding, built on PyTorch and the Hugging Face Transformers architecture. The cluster centers on the Polyglot-Ko model family spanning multiple scales (1.3B to 12.8B parameters) alongside instruction-tuned and domain-specific variants like medical models. These repositories provide causal language models suitable for generation tasks with Hugging Face endpoints compatibility, serving as practical resources for Korean NLP practitioners and researchers.

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