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@@ -60,10 +60,11 @@ To simplify the comparison, we chosed the Pass@1 metric for the Python language,
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  | Model | HumanEval python pass@1 |
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  | --- |----------------------------------------------------------------------------- |
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- | phi-2 | 48.2% |
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- | **opencsg-phi-2-v0.1** |**54.3%**|
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  | stable-coder-3b | 29.3%|
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  | **opencsg-stable-coder-3b-v1**| **46.3%** |
 
 
 
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@@ -162,10 +163,10 @@ HumanEval 是评估模型在代码生成方面性能的最常见的基准,尤
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  | 模型 | HumanEval python pass@1 |
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  | --- |----------------------------------------------------------------------------- |
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- | phi-2 | 48.2% |
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- | **opencsg-phi-2-v0.1** |**54.3%**|
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  | stable-coder-3b | 29.3%|
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  | **opencsg-stable-coder-3b-v1**| **46.3%** |
 
 
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  | Model | HumanEval python pass@1 |
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  | --- |----------------------------------------------------------------------------- |
 
 
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  | stable-coder-3b | 29.3%|
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  | **opencsg-stable-coder-3b-v1**| **46.3%** |
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+ | phi-2 | 48.2% |
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+ | **opencsg-phi-2-v0.1** |**54.3%**|
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  | 模型 | HumanEval python pass@1 |
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  | --- |----------------------------------------------------------------------------- |
 
 
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  | stable-coder-3b | 29.3%|
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  | **opencsg-stable-coder-3b-v1**| **46.3%** |
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+ | phi-2 | 48.2% |
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+ | **opencsg-phi-2-v0.1** |**54.3%**|
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