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license: cc-by-4.0 |
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language: |
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- ko |
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# komt : korean multi task instruction tuning model |
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Recently, due to the success of ChatGPT, numerous large language models have emerged in an attempt to catch up with ChatGPT's capabilities. |
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However, when it comes to Korean language performance, it has been observed that many models still struggle to provide accurate answers or generate Korean text effectively. |
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This study addresses these challenges by introducing a multi-task instruction technique that leverages supervised datasets from various tasks to create training data for Large Language Models (LLMs). |
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## Model Details |
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* **Model Developers** : davidkim(changyeon kim) |
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* **Repository** : https://github.com/davidkim205/komt(will be updated soon.) |
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* **base mode** : Edentns/DataVortexS-10.7B-dpo-v1.11 |
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* **dataset** : comp-341k(will be updated soon.) |
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