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@@ -66,13 +66,16 @@ 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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  |-----------------------------------------------|---------|-------|-----------|-------|------------|
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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-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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  | llama-30b-instruct (Ours, Open LLM Leaderboard) | 65.2 | 62.5 | 86.2 | 59.4 | 52.8 |
 
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  | falcon-40b-instruct | 63.4 | 61.6 | 84.3 | 55.4 | 52.5 |
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- | llama-65b | 62.1 | 57.6 | 84.3 | 63.4 | 43.0 |
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  ### Scripts
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  - Prepare evaluation environments:
 
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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-v2 (Ours, Local Reproduction) | 72.7 | 71.6 | 87.7 | 69.7 | 61.6 |
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+ | Llama-2-70b-instruct (Ours, Local Reproduction) | 72.0 | 70.7 | 87.4 | 69.3 | 60.7 |
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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-2-70b-hf | 67.3 | 67.3 | 87.3 | 69.8 | 44.9 |
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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-30b-instruct-2048** (***Ours***, ***Local Reproduction***) | **67.0** | **64.9** | **85.0** | **61.9** | **56.0** |
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  | llama-30b-instruct (Ours, Open LLM Leaderboard) | 65.2 | 62.5 | 86.2 | 59.4 | 52.8 |
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+ | llama-65b | 64.2 | 63.5 | 86.1 | 63.9 | 43.4 |
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  | falcon-40b-instruct | 63.4 | 61.6 | 84.3 | 55.4 | 52.5 |
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+
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  ### Scripts
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  - Prepare evaluation environments: