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README.md
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@@ -66,10 +66,11 @@ 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-
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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 (
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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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### 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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