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opencsg-CodeLlama-13b-v0.1

Text Generation
Transformers
Safetensors
code
llama
llama-2
text-generation-inference
Inference Endpoints
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@@ -61,12 +61,12 @@ To simplify the comparison, we chosed the Pass@1 metric for the Python language,
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  | Model | HumanEval python pass@1 |
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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-v0.1| **64.0%** |
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  | CodeLlama-70b-hf| 53.0% |
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  | CodeLlama-70b-Instruct-hf| **67.8%** |
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@@ -176,12 +176,12 @@ HumanEval 是评估模型在代码生成方面性能的最常见的基准，尤
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  | 模型 | HumanEval python pass@1 |
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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%** |
184
- | opencsg-CodeLlama-34b-v0.1| **64.0%** |
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  | CodeLlama-70b-hf| 53.0% |
186
  | CodeLlama-70b-Instruct-hf| **67.8%** |
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  | Model | HumanEval python pass@1 |
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  | --- |----------------------------------------------------------------------------- |
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  | CodeLlama-7b-hf | 30.5%|
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+ | **opencsg-CodeLlama-7b-v0.1** | **43.9%** |
65
  | CodeLlama-13b-hf | 36.0%|
66
+ | **opencsg-CodeLlama-13b-v0.1** | **51.2%** |
67
  | CodeLlama-34b-hf | 48.2%|
68
+ | **opencsg-CodeLlama-34b-v0.1**| **56.1%** |
69
+ | **opencsg-CodeLlama-34b-v0.2**| **64.0%** |
70
  | CodeLlama-70b-hf| 53.0% |
71
  | CodeLlama-70b-Instruct-hf| **67.8%** |
72
 
 
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  | 模型 | HumanEval python pass@1 |
177
  | --- |----------------------------------------------------------------------------- |
178
  | CodeLlama-7b-hf | 30.5%|
179
+ | **opencsg-CodeLlama-7b-v0.1** | **43.9%** |
180
  | CodeLlama-13b-hf | 36.0%|
181
+ | **opencsg-CodeLlama-13b-v0.1** | **51.2%** |
182
  | CodeLlama-34b-hf | 48.2%|
183
+ | **opencsg-CodeLlama-34b-v0.1**| **56.1%** |
184
+ | **opencsg-CodeLlama-34b-v0.2**| **64.0%** |
185
  | CodeLlama-70b-hf| 53.0% |
186
  | CodeLlama-70b-Instruct-hf| **67.8%** |
187