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@@ -45,14 +45,6 @@ This is the repository for the base 13B version finetuned based on [CodeLlama-13
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  | phi-2 | [opencsg/Opencsg-phi-2-v0.1](https://huggingface.co/opencsg/opencsg-phi-2-v0.1) |
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- | 7B | [opencsg/Opencsg-CodeLlama-7b-v0.1](https://huggingface.co/opencsg/opencsg-CodeLlama-7b-v0.1) |
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- | 13B | [opencsg/Opencsg-CodeLlama-13b-v0.1](https://huggingface.co/opencsg/opencsg-CodeLlama-13b-v0.1) |
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- | 34B | [opencsg/Opencsg-CodeLlama-34b-v0.1](https://huggingface.co/opencsg/opencsg-CodeLlama-34b-v0.1) |
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- | 7B | [opencsg/Opencsg-CodeLlama-7b-v0.2](https://huggingface.co/opencsg/opencsg-CodeLlama-7b-v0.2) |
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- | 13B | [opencsg/Opencsg-CodeLlama-13b-v0.2](https://huggingface.co/opencsg/opencsg-CodeLlama-13b-v0.2) |
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- | 34B | [opencsg/Opencsg-CodeLlama-34b-v0.2](https://huggingface.co/opencsg/opencsg-CodeLlama-34b-v0.2) |
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  ## Model Eval
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@@ -74,21 +66,6 @@ To simplify the comparison, we chosed the Pass@1 metric for the Python language,
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  | **opencsg-phi-2-v0.1** |**54.3**|
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- | CodeLlama-7b-hf | 30.5%|
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- | **opencsg-CodeLlama-7b-v0.1** | **43.9%** |
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- | **opencsg-CodeLlama-7b-v0.2** | **50.0%** |
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- | CodeLlama-13b-hf | 36.0%|
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- | **opencsg-CodeLlama-13b-v0.1** | **51.2%** |
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- | **opencsg-CodeLlama-13b-v0.2** | **55.5%** |
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- | CodeLlama-34b-hf | 48.2%|
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- | **opencsg-CodeLlama-34b-v0.1**| **56.1%** |
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- | **opencsg-CodeLlama-34b-v0.2**| **64.0%** |
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- | CodeLlama-70b-hf| 53.0% |
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- | CodeLlama-70b-Instruct-hf| **67.8%** |
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@@ -171,12 +148,7 @@ opencsg-phi-2-v0.1是是一系列基于phi-2的通过全参数微调方法进行
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  | 模型大小 | 基座模型 |
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  | --- | ----------------------------------------------------------------------------- |
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- | 7B | [opencsg/Opencsg-CodeLlama-7b-v0.1](https://huggingface.co/opencsg/opencsg-CodeLlama-7b-v0.1) |
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- | 13B | [opencsg/Opencsg-CodeLlama-13b-v0.1](https://huggingface.co/opencsg/opencsg-CodeLlama-13b-v0.1) |
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- | 34B | [opencsg/Opencsg-CodeLlama-34b-v0.1](https://huggingface.co/opencsg/opencsg-CodeLlama-34b-v0.1) |
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- | 7B | [opencsg/Opencsg-CodeLlama-7b-v0.2](https://huggingface.co/opencsg/opencsg-CodeLlama-7b-v0.2) |
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- | 13B | [opencsg/Opencsg-CodeLlama-13b-v0.2](https://huggingface.co/opencsg/opencsg-CodeLlama-13b-v0.2) |
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- | 34B | [opencsg/Opencsg-CodeLlama-34b-v0.2](https://huggingface.co/opencsg/opencsg-CodeLlama-34b-v0.2) |
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  ## 模型评估
@@ -199,17 +171,7 @@ 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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  | **opencsg-phi-2-v0.1** |**54.3**|
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- | CodeLlama-7b-hf | 30.5%|
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- | **opencsg-CodeLlama-7b-v0.1** | **43.9%** |
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- | **opencsg-CodeLlama-7b-v0.2** | **50.0%** |
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- | CodeLlama-13b-hf | 36.0%|
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- | **opencsg-CodeLlama-13b-v0.1** | **51.2%** |
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- | **opencsg-CodeLlama-13b-v0.2** | **55.5%** |
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- | CodeLlama-34b-hf | 48.2%|
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- | **opencsg-CodeLlama-34b-v0.1**| **56.1%** |
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- | **opencsg-CodeLlama-34b-v0.2**| **64.0%** |
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- | CodeLlama-70b-hf| 53.0% |
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- | CodeLlama-70b-Instruct-hf| **67.8%** |
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  **TODO**
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  - 未来我们将提供更多微调模型的在各基准上的分数。
 
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  | phi-2 | [opencsg/Opencsg-phi-2-v0.1](https://huggingface.co/opencsg/opencsg-phi-2-v0.1) |
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  ## Model Eval
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  | **opencsg-phi-2-v0.1** |**54.3**|
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  | 模型大小 | 基座模型 |
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  | --- | ----------------------------------------------------------------------------- |
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+ | phi-2 | [opencsg/Opencsg-phi-2-v0.1](https://huggingface.co/opencsg/opencsg-phi-2-v0.1) |
 
 
 
 
 
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  ## 模型评估
 
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  | **opencsg-phi-2-v0.1** |**54.3**|
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  **TODO**
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  - 未来我们将提供更多微调模型的在各基准上的分数。