Update README.md

README.md

@@ -67,6 +67,12 @@ To simplify the comparison, we chosed the Pass@1 metric for the Python language,
 | CodeLlama-34b-hf  |  48.2%|
 | opencsg-CodeLlama-34b-v0.1| **56.1%** |
 | opencsg-CodeLlama-34b-v0.2| **64.0%** |
+| CodeLlama-70b-hf| 53.0% |
+| CodeLlama-70b-Instruct-hf| **67.8%** |
+
+
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+
 
 **TODO**
 - We will provide more benchmark scores on fine-tuned models in the future.
@@ -180,6 +186,8 @@ HumanEval 是评估模型在代码生成方面性能的最常见的基准，尤
 | CodeLlama-34b-hf  |  48.2%|
 | opencsg-CodeLlama-34b-v0.1| **56.1%** |
 | opencsg-CodeLlama-34b-v0.2| **64.0%** |
+| CodeLlama-70b-hf| 53.0% |
+| CodeLlama-70b-Instruct-hf| **67.8%** |
 
 **TODO**
 - 未来我们将提供更多微调模型的在各基准上的分数。