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--- |
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language: |
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- en |
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- ko |
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pipeline_tag: text-generation |
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inference: false |
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tags: |
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- facebook |
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- meta |
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- pytorch |
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- llama |
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- llama-2 |
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- llama-2-chat |
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license: apache-2.0 |
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--- |
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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 |
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* **quant methods** : q4_0, q4_1, q5_0, q5_1, q2_k, q3_k, q3_k_m, q3_k_l, q4_k, q4_k_s, q4_k_m, q5_k, q5_k_s, q5_k_m, q8_0, q4_0 |
