AIJapanese
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README.md
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@@ -38,5 +38,5 @@ We used the [lm-evaluation-harness](https://github.com/Stability-AI/lm-evaluatio
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| SakanaAI/EvoLLM-JP-v1-7B | 89.19 | 66.02 | 95.55 | 92.10 | 86.41 | **23.31** | 81.65 | 47.60 | 72.73 |
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| Llama-3-ELYZA-JP-8B |92.40 | 64.85 | **95.67** | 92.04 | 87.43 | 21.35 | 78.21 | 49.20 | 72.64 |
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| Llama-3-Swallow-8B-Instruct-v0.1 | 92.49 | 62.12 | 94.27 | **93.73** | **90.83** | 19.61 | 74.04 | 50.00 | 72.14 |
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| Tanuki-8B-dpo-v1.0| 79
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| SakanaAI/EvoLLM-JP-v1-7B | 89.19 | 66.02 | 95.55 | 92.10 | 86.41 | **23.31** | 81.65 | 47.60 | 72.73 |
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| Llama-3-ELYZA-JP-8B |92.40 | 64.85 | **95.67** | 92.04 | 87.43 | 21.35 | 78.21 | 49.20 | 72.64 |
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| Llama-3-Swallow-8B-Instruct-v0.1 | 92.49 | 62.12 | 94.27 | **93.73** | **90.83** | 19.61 | 74.04 | 50.00 | 72.14 |
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| Tanuki-8B-dpo-v1.0| 79.18 | 43.05 | 92.26 | 82.29 | 77.99 | 11.68 | 70.39 | 43.60 | 62.56 |
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