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README.md
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@@ -33,7 +33,7 @@ base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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- **Model Developers:** Neural Magic
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Quantized version of [Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct).
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It achieves scores within 1.
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### Model Optimizations
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@@ -152,31 +152,31 @@ This version of the lm-evaluation-harness includes versions of MMLU, ARC-Challen
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<tr>
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<td>MMLU (5-shot)
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</td>
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<td>
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</td>
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<td>
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</td>
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<td>99.
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</td>
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</tr>
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<tr>
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<td>MMLU (CoT, 0-shot)
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</td>
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<td>72.
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</td>
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<td>72.
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</td>
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<td>99.
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</td>
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</tr>
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<tr>
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<td>ARC Challenge (0-shot)
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</td>
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<td>81.
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</td>
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<td>81.
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</td>
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<td>
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</td>
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</tr>
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<tr>
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</td>
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<td>82.79
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</td>
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<td>
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<td>
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</td>
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</tr>
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<tr>
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<td>Hellaswag (10-shot)
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</td>
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<td>80.
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</td>
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<td>79.
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</td>
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<td>99.
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</td>
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</tr>
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<tr>
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<td>Winogrande (5-shot)
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</td>
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<td>
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</td>
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<td>77.
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</td>
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<td>99.0%
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</td>
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<tr>
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<td>TruthfulQA (0-shot, mc2)
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</td>
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<td>54.
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</td>
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<td>54.
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<td>
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</tr>
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<tr>
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<td><strong>Average</strong>
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</td>
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<td><strong>74.
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</td>
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<td><strong>73.
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</td>
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<td><strong>99.
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</td>
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</tr>
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</table>
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- **Model Developers:** Neural Magic
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Quantized version of [Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct).
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It achieves scores within 1.0% of the scores of the unquantized model for MMLU, ARC-Challenge, GSM-8k, Hellaswag, Winogrande and TruthfulQA.
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### Model Optimizations
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<tr>
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<td>MMLU (5-shot)
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</td>
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<td>68.32
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</td>
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<td>67.83
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</td>
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<td>99.3%
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</td>
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</tr>
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<tr>
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<td>MMLU (CoT, 0-shot)
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</td>
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<td>72.83
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</td>
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<td>72.18
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</td>
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<td>99.1%
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</td>
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</tr>
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<tr>
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<td>ARC Challenge (0-shot)
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</td>
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<td>81.40
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</td>
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<td>81.66
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</td>
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<td>100.3%
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</td>
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</tr>
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<tr>
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</td>
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<td>82.79
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<td>84.84
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</td>
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<td>102.5%
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</td>
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</tr>
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<tr>
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<td>Hellaswag (10-shot)
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</td>
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<td>80.47
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</td>
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<td>79.96
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<td>99.4%
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</td>
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</tr>
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<tr>
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<td>Winogrande (5-shot)
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</td>
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<td>78.06
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</td>
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<td>77.27
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</td>
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<td>99.0%
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</td>
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<tr>
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<td>TruthfulQA (0-shot, mc2)
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</td>
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<td>54.48
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</td>
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<td>54.17
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</td>
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<td>99.4%
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</td>
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</tr>
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<tr>
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<td><strong>Average</strong>
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</td>
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<td><strong>74.05</strong>
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</td>
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<td><strong>73.99</strong>
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</td>
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<td><strong>99.9%</strong>
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</td>
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</tr>
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</table>
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