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@@ -118,29 +118,6 @@ python examples/mmlu_llmapi.py --data_dir data/mmlu --hf_model_dir nvidia/DeepSe
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  Please refer to the [TensorRT-LLM benchmarking documentation](https://github.com/NVIDIA/TensorRT-LLM/tree/main/benchmarks) for details.
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- #### Evaluation
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- The accuracy (MMLU, 5-shot) benchmark results are presented in the table below:
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- <table>
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- <tr>
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- <td><strong>Precision</strong>
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- </td>
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- <td><strong>MMLU</strong>
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- </td>
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- </tr>
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- <tr>
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- <td>FP8
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- </td>
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- <td>90.8
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- </td>
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- </tr>
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- <tr>
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- <td>FP4
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- </td>
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- <td>86.9
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- </td>
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- </tr>
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- <tr>
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- </table>
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  ## Ethical Considerations
 
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  Please refer to the [TensorRT-LLM benchmarking documentation](https://github.com/NVIDIA/TensorRT-LLM/tree/main/benchmarks) for details.
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  ## Ethical Considerations