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Update README_EN.md
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leoymr authored Sep 4, 2023
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Expand Up @@ -55,8 +55,9 @@ The following table displays the performance of models in the five-shot and zero
| [Bactrian-LLaMA-13B](https://github.com/mbzuai-nlp/bactrian-x) | 27.52 | 32.47 | 32.27 | 35.77 | 31.56 | 31.88 |
| [MOSS-SFT-16B](https://github.com/OpenLMLab/MOSS) | 27.23 | 30.41 | 28.84 | 32.56 | 28.68 | 29.57 |
| Not open-source/API models |
| [Galaxy](https://www.zuoyebang.com/) | **69.61** | 74.95 | **78.54** | **77.93** | **73.99** | **74.03** |
| [Mengzi-7B](https://www.langboat.com/) | 49.59 | **75.27** | 71.36 | 70.52 | 69.23 | 66.41 |
| [BlueLM-7B](https://developers-ai.vivo.com.cn/) | 61.02 | **81.94** | **78.62** | **79.85** | **78.25** | **75.07** |
| [Galaxy](https://www.zuoyebang.com/) | **69.61** | 74.95 | 78.54 | 77.93 | 73.99 | 74.03 |
| [Mengzi-7B](https://www.langboat.com/) | 49.59 | 75.27 | 71.36 | 70.52 | 69.23 | 66.41 |
| [KwaiYii-13B](https://github.com/kwai) | 46.54 | 69.22 | 64.49 | 65.09 | 63.10 | 61.73 |
| [MiLM-6B](https://github.com/XiaoMi/MiLM-6B/) | 46.85 | 61.12 | 61.68 | 58.84 | 59.39 | 57.17 |
| [MiLM-1.3B](https://github.com/XiaoMi/MiLM-6B/) | 35.59 | 49.58 | 49.03 | 47.56 | 48.17 | 45.39 |
Expand All @@ -82,12 +83,13 @@ The following table displays the performance of models in the five-shot and zero
| [Chinese-LLaMA-13B](https://github.com/ymcui/Chinese-LLaMA-Alpaca)| 26.76 | 26.57 | 27.42 | 28.33 | 26.73 | 27.34 |
| [MOSS-SFT-16B](https://github.com/OpenLMLab/MOSS) | 25.68 | 26.35 | 27.21 | 27.92 | 26.70 | 26.88 |
| Not open-source/API models |
| [Galaxy](https://www.zuoyebang.com/) | **69.38** | 75.33 | **78.27** | **78.19** | **73.25** | **73.85** |
| [Mengzi-7B](https://www.langboat.com/) | 49.49 | **75.84** | 72.32 | 70.87 | 70.00 | 66.88 |
| [Galaxy](https://www.zuoyebang.com/) | **69.38** | 75.33 | **78.27** | **78.19** | 73.25 | **73.85** |
| [BlueLM-7B](https://developers-ai.vivo.com.cn/) | 58.72 | **77.15** | 74.86 | 76.88 | **74.58** | 71.66 |
| [Mengzi-7B](https://www.langboat.com/) | 49.49 | 75.84 | 72.32 | 70.87 | 70.00 | 66.88 |
| [KwaiYii-13B](https://github.com/kwai) | 46.82 | 69.35 | 63.42 | 64.02 | 63.26 | 61.22 |
| [MiLM-6B](https://github.com/XiaoMi/MiLM-6B/) | 48.88 | 63.49 | 66.20 | 62.14 | 62.07 | 60.37 |
| [MiLM-1.3B](https://github.com/XiaoMi/MiLM-6B/) | 40.51 | 54.82 | 54.15 | 53.99 | 52.26 | 50.79 |
| Random | 25.00 | 25.00 | 25.00 | 25.00 | 25.00 | 25.00 |
| Random | 25.00 | 25.00 | 25.00 | 25.00 | 25. | 25.00 |


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