komt : korean multi task instruction tuning model

Recently, due to the success of ChatGPT, numerous large language models have emerged in an attempt to catch up with ChatGPT's capabilities. 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. 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).

Model Details

Model Developers : davidkim(changyeon kim)
Repository : https://github.com/davidkim205/komt(will be updated soon.)
base mode : Edentns/DataVortexS-10.7B-dpo-v1.11
dataset : comp-341k(will be updated soon.)