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Organization

Korea Electronics Technology Institute NLP

KETI-NLP

Models in Library2
Datasets in Library0
Models on Hugging Face20
Followers36

Models

Qwen3.5-KETI-HAECHI-27B is a multimodal model derived from Qwen/Qwen3.5-27B. It was developed Korean OCR, and improving tool calling and multi-step, stateful agent execution. Alongside these goals, the model preserves broad multimodal, language, and coding capabilities from the base model. heritage objects, answers questions grounded in heritage images, and reads Korean text from signs, scenes, rendered text, and public documents. - Tool calling and long-horizon task execution: selects and calls tools, carries information across multiple turns, tracks changing state, and works toward an end-to-end goal over several steps. follows Korean and English instructions, and performs visual…

Open weights apache-2.0 27.4B parameters 262,144 tokens transformers

HyperCLOVA X KETI-HAECHI-32B is a multimodal model derived from It was developed for two primary purposes: improving Korean cultural-heritage understanding and Korean OCR, and improving tool calling and multi-step, stateful agent execution. Alongside these goals, the model retains broad multimodal, language, and coding capabilities from the base model. heritage objects, answers questions grounded in heritage images, and reads Korean text from signs, scenes, rendered text, and public documents. - Tool calling and long-horizon task execution: selects and calls tools, carries information across multiple turns, tracks changing state, and works toward an end-to-end goal over several steps.…

Open weights other 33.3B parameters 131,072 tokens transformers