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@@ -14,7 +14,7 @@ For our final model, we've used Stability AI Japan's [Japanese MT-Bench](https:/
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  | Benchmark | Score |
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  | ----------- | ----- |
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- | JA MT-Bench | 5.23 |
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  There is an [JA-MT-Bench Leaderboard](https://github.com/AUGMXNT/shisa/wiki/Evals-%3A-JA-MT%E2%80%90Bench), for convenience, here is a comparison of the JA MT-Bench scores of some other models (our scores were rated by `gpt-4-0613`):
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  | Benchmark | Score |
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  | ----------- | ----- |
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+ | JA MT-Bench | 6.65 |
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  There is an [JA-MT-Bench Leaderboard](https://github.com/AUGMXNT/shisa/wiki/Evals-%3A-JA-MT%E2%80%90Bench), for convenience, here is a comparison of the JA MT-Bench scores of some other models (our scores were rated by `gpt-4-0613`):
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