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Update README.md
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README.md
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@@ -248,8 +248,13 @@ CodeFuse-DeepSeek-33B 是一个通过QLoRA对基座模型DeepSeek-Coder-33B进
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| 模型 | HumanEval(pass@1) | 日期 |
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| **CodeFuse-CodeLlama-34B** | 74.4% | 2023.9 |
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|**CodeFuse-CodeLlama-34B-4bits** | 73.8% | 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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@@ -258,11 +263,7 @@ CodeFuse-DeepSeek-33B 是一个通过QLoRA对基座模型DeepSeek-Coder-33B进
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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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| Qwen-14b
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| **CodeFuse-StarCoder-15B** | 54.9% | 2023.9 |
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| **CodeFuse-QWen-14B** | 48.78% | 2023.8 |
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| **CodeFuse-CodeGeeX2-6B** | 45.12% | 2023.11 |
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| **CodeFuse-DeepSeek-33B**. | **78.65%** | 2024.01 |
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@@ -287,11 +288,11 @@ System instruction
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<s>human
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Human 1st round input
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<s>bot
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Bot 1st round output
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<s>human
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Human 2nd round input
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<s>bot
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Bot 2nd round output
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| 模型 | HumanEval(pass@1) | 日期 |
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|:----------------------------|:-----------------:|:-------:|
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| **CodeFuse-DeepSeek-33B** | **78.65%** | 2024.01 |
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| **CodeFuse-Mixtral-8x7B** | **56.10%** | 2024.01 |
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| **CodeFuse-CodeLlama-34B** | 74.4% | 2023.9 |
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|**CodeFuse-CodeLlama-34B-4bits** | 73.8% | 2023.9 |
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| **CodeFuse-StarCoder-15B** | 54.9% | 2023.9 |
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| **CodeFuse-QWen-14B** | 48.78% | 2023.10 |
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| **CodeFuse-CodeGeeX2-6B** | 45.12% | 2023.11 |
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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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| 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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| Qwen-14b | 32.3% | 2023.10 |
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<s>human
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Human 1st round input
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<s>bot
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Bot 1st round output</s>
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<s>human
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Human 2nd round input
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<s>bot
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Bot 2nd round output</s>
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...
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