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@@ -65,12 +65,13 @@ To simplify the comparision, we chosed the Pass@1 metric on python language, but
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  | opencsg-CodeLlama-13b-v0.1(4k) | **45.1%** |
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  | CodeLlama-34b-hf | 48.2%|
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  | opencsg-CodeLlama-34b-v0.1(4k)| **48.8%** |
 
 
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  **TODO**
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  - we will provide much more benchmark scores on fine-tuned models in future.
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  - we will provide different practical problems to evaluate the performance of fine-tuned models in the field of software engineering.
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  # Model Usage
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  ```python
 
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  | opencsg-CodeLlama-13b-v0.1(4k) | **45.1%** |
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  | CodeLlama-34b-hf | 48.2%|
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  | opencsg-CodeLlama-34b-v0.1(4k)| **48.8%** |
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+ | --- |----------------------------------------------------------------------------- |
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+
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  **TODO**
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  - we will provide much more benchmark scores on fine-tuned models in future.
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  - we will provide different practical problems to evaluate the performance of fine-tuned models in the field of software engineering.
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  # Model Usage
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  ```python