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Update README.md
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README.md
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@@ -26,11 +26,19 @@ The context length of finetuning is 4K while it is able to be finetuned by 16k c
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## Performance
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<br>
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@@ -130,11 +138,19 @@ CodeFuse-CodeLlama34B-MFT 是一个通过QLoRA对基座模型CodeLlama-34b-Pytho
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## 评测表现(代码)
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<br>
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## Requirements
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## Performance
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| Model | HumanEval(pass@1) | Date |
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|:----------------------------|:-----------------:|:-------:|
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| **CodeFuse-CodeLlama-34B** | **74.4%** | 2023.9 |
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| WizardCoder-Python-34B-V1.0 | 73.2% | 2023.8 |
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| GPT-4(zero-shot) | 67.0% | 2023.3 |
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| PanGu-Coder2 15B | 61.6% | 2023.8 |
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| CodeLlama-34b-Python | 53.7% | 2023.8 |
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| CodeLlama-34b | 48.8% | 2023.8 |
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| GPT-3.5(zero-shot) | 48.1% | 2022.11 |
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| OctoCoder | 46.2% | 2023.8 |
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| StarCoder-15B | 33.6% | 2023.5 |
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| LLaMA 2 70B(zero-shot) | 29.9% | 2023.7 |
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## 评测表现(代码)
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| 模型 | HumanEval(pass@1) | 日期 |
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|:----------------------------|:-----------------:|:-------:|
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| **CodeFuse-CodeLlama-34B** | **74.4%** | 2023.9 |
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| WizardCoder-Python-34B-V1.0 | 73.2% | 2023.8 |
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| GPT-4(zero-shot) | 67.0% | 2023.3 |
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| PanGu-Coder2 15B | 61.6% | 2023.8 |
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| CodeLlama-34b-Python | 53.7% | 2023.8 |
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| CodeLlama-34b | 48.8% | 2023.8 |
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| GPT-3.5(zero-shot) | 48.1% | 2022.11 |
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| OctoCoder | 46.2% | 2023.8 |
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| StarCoder-15B | 33.6% | 2023.5 |
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| LLaMA 2 70B(zero-shot) | 29.9% | 2023.7 |
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<br>
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## Requirements
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