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@@ -82,8 +82,8 @@ We used the [lm-evaluation-harness repository](https://github.com/EleutherAI/lm-
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  ### Main Results
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  | Model | H4(Avg) | ARC | HellaSwag | MMLU | TruthfulQA | | MT_Bench |
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  |--------------------------------------------------------------------|----------|----------|----------|------|----------|-|-------------|
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- | **[Llama-2-70b-instruct-v2](https://huggingface.co/upstage/Llama-2-70b-instruct-v2)**(***Ours***, ***Local Reproduction***) | **72.7** | **71.6** | **87.7** | 69.7 | **61.6** | | **7.44063** |
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- | [Llama-2-70b-instruct](https://huggingface.co/upstage/Llama-2-70b-instruct) (Ours, Open LLM Leaderboard) | 72.3 | 70.9 | 87.5 | **69.8** | 61 | | 7.24375 |
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  | [llama-65b-instruct](https://huggingface.co/upstage/llama-65b-instruct) (Ours, Open LLM Leaderboard) | 69.4 | 67.6 | 86.5 | 64.9 | 58.8 | | |
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  | Llama-2-70b-hf | 67.3 | 67.3 | 87.3 | **69.8** | 44.9 | | |
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  | [llama-30b-instruct-2048](https://huggingface.co/upstage/llama-30b-instruct-2048) (Ours, Open LLM Leaderboard) | 67.0 | 64.9 | 84.9 | 61.9 | 56.3 | | |
 
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  ### Main Results
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  | Model | H4(Avg) | ARC | HellaSwag | MMLU | TruthfulQA | | MT_Bench |
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  |--------------------------------------------------------------------|----------|----------|----------|------|----------|-|-------------|
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+ | **[Llama-2-70b-instruct-v2](https://huggingface.co/upstage/Llama-2-70b-instruct-v2)**(***Ours***, ***Open LLM Leaderboard***) | **73** | **71.1** | **87.9** | **70.6** | **62.2** | | **7.44063** |
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+ | [Llama-2-70b-instruct](https://huggingface.co/upstage/Llama-2-70b-instruct) (Ours, Open LLM Leaderboard) | 72.3 | 70.9 | 87.5 | 69.8 | 61 | | 7.24375 |
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  | [llama-65b-instruct](https://huggingface.co/upstage/llama-65b-instruct) (Ours, Open LLM Leaderboard) | 69.4 | 67.6 | 86.5 | 64.9 | 58.8 | | |
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  | Llama-2-70b-hf | 67.3 | 67.3 | 87.3 | **69.8** | 44.9 | | |
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  | [llama-30b-instruct-2048](https://huggingface.co/upstage/llama-30b-instruct-2048) (Ours, Open LLM Leaderboard) | 67.0 | 64.9 | 84.9 | 61.9 | 56.3 | | |