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            ### Benchmark Metrics
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            | Metric                | Value |
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            | MMLU (5-shot)         |  56.70  |
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            | ARC (25-shot)         |  61.26  |
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            | HellaSwag (10-shot)   |  82.56  |
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            | TruthfulQA (0-shot)   |  44.86  |
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            | Avg.                  |  61.35  |
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            We use state-of-the-art [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) to run the benchmark tests above, using the same version as the HuggingFace LLM Leaderboard. Please see below for detailed instructions on reproducing benchmark results.
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            ### Model Details
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            * **Trained by**: Cole Hunter & Ariel Lee
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            ### Model Details
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            * **Trained by**: Cole Hunter & Ariel Lee
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