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README.md
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@@ -65,7 +65,8 @@ We used the [lm-evaluation-harness repository](https://github.com/EleutherAI/lm-
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### Main Results
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| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA |
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| llama-65b-instruct (***Ours***, ***Local Reproduction***) | 69.4 | 67.6 | 86.5 | 64.9 | 58.8 |
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| llama-30b-instruct-2048 (***Ours***, ***Open LLM Leaderboard***) | 67.0 | 64.9 | 84.9 | 61.9 | 56.3 |
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| Llama-2-70b-chat-hf | 66.8 | 64.6 | 85.9 | 63.9 | 52.8 |
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### Main Results
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| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA |
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|-----------------------------------------------|---------|-------|-----------|-------|------------|
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| Llama-2-70b-instruct-1024 (***Ours***, ***Local Reproduction***) | **72.0** | **70.7** | **87.4** | **69.3** | **60.7** |
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| Llama-2-70b-hf | 67.3 | 67.3 | 87.3 | 69.8 | 44.9 |
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| llama-65b-instruct (***Ours***, ***Local Reproduction***) | 69.4 | 67.6 | 86.5 | 64.9 | 58.8 |
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| llama-30b-instruct-2048 (***Ours***, ***Open LLM Leaderboard***) | 67.0 | 64.9 | 84.9 | 61.9 | 56.3 |
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| Llama-2-70b-chat-hf | 66.8 | 64.6 | 85.9 | 63.9 | 52.8 |
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