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README.md
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- **Model Developers:** Neural Magic
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Quantized version of [Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct).
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It achieves an average score of 43.38 on the [OpenLLM](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) benchmark
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### Model Optimizations
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</td>
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<tr>
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<td>MMLU (5-shot)
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</td>
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<td>46.83
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<td><strong>99.4%</strong>
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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 [Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct).
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It achieves an average score of 43.38 on the [OpenLLM](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) benchmark version 1 and 23.42 on version 2, whereas the unquantized model achieves 43.64 on version 1 and 23.39 on version 2.
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### Model Optimizations
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</td>
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</tr>
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<tr>
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<td rowspan="7" ><strong>OpenLLM v1</strong>
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</td>
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<td>MMLU (5-shot)
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</td>
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<td>46.83
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<td><strong>99.4%</strong>
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</td>
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</tr>
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<tr>
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<td rowspan="7" ><strong>OpenLLM v2</strong>
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</td>
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<td>MMLU-Pro (5-shot)
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</td>
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<td>17.49
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</td>
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<td>16.95
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</td>
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<td>96.9%
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</td>
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</tr>
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<tr>
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<td>IFEval (0-shot)
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</td>
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<td>31.17
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</td>
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<td>32.04
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</td>
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<td>102.8%
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</td>
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</tr>
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<tr>
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<td>BBH (3-shot)
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</td>
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<td>32.79
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</td>
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<td>32.51
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</td>
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<td>99.2%
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</td>
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</tr>
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<tr>
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<td>Math-lvl-5 (4-shot)
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</td>
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<td>0.21
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</td>
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<td>0.17
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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>GPQA (0-shot)
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</td>
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<td>25.67
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</td>
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<td>26.12
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</td>
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<td>101.8%
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</td>
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</tr>
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<tr>
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<td>MuSR (0-shot)
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</td>
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<td>33.02
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</td>
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<td>32.75
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</td>
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<td>99.2%
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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>23.39</strong>
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</td>
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<td><strong>23.42</strong>
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</td>
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<td><strong>100.1%</strong>
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</td>
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</tr>
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</table>
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*** Reference value too low to report meaningful recovery.
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