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README.md
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@@ -42,9 +42,12 @@ This is the repository for the base 34B version finetuned based on [CodeLlama-34
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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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| 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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HumanEval is the most common code generation benchmark for evaluating model performance, especially on the compeltion of code exercise cases.
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| --- |----------------------------------------------------------------------------- |
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| CodeLlama-7b-hf | 30.5%|
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| **opencsg-CodeLlama-7b-v0.1** | **43.9%** |
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| CodeLlama-13b-hf | 36.0%|
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| **opencsg-CodeLlama-13b-v0.1** | **51.2%** |
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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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@@ -161,6 +166,8 @@ opencsg-CodeLlama-v0.2是一系列基于CodeLlama的通过全参数微调方法
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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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| 34B | [opencsg/Opencsg-CodeLlama-34b-v0.2](https://huggingface.co/opencsg/opencsg-CodeLlama-34b-v0.2) |
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| --- |----------------------------------------------------------------------------- |
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| CodeLlama-7b-hf | 30.5%|
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| **opencsg-CodeLlama-7b-v0.1** | **43.9%** |
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| CodeLlama-13b-hf | 36.0%|
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| **opencsg-CodeLlama-13b-v0.1** | **51.2%** |
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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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| 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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HumanEval is the most common code generation benchmark for evaluating model performance, especially on the compeltion of code exercise cases.
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| --- |----------------------------------------------------------------------------- |
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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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| 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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| --- |----------------------------------------------------------------------------- |
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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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