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# keval-2-1b
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keval-2-1b is an advanced evaluation model specifically designed to assess Korean language models using a LLM-as-a-judge approach. It is a departure from the traditional method which utilized chatgpt for evaluations. keval leverages the Gemma2-9b architecture, enhanced through SFT (Supervised Fine-Tuning) and DPO (Direct Policy Optimization). This model is trained on the newly developed Ko-bench dataset, inspired by MT-bench, tailored for Korean linguistic nuances.
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library_name: transformers
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tags: []
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# keval-2-1b
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keval-2-1b is an advanced evaluation model specifically designed to assess Korean language models using a LLM-as-a-judge approach. It is a departure from the traditional method which utilized chatgpt for evaluations. keval leverages the Gemma2-9b architecture, enhanced through SFT (Supervised Fine-Tuning) and DPO (Direct Policy Optimization). This model is trained on the newly developed Ko-bench dataset, inspired by MT-bench, tailored for Korean linguistic nuances.
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