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@@ -122,9 +122,9 @@ To evaluate the model for vulnerability remediation we used the `Static Analysis
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  | Model | HumanEval | HumanEval Fix Python| Static Analysis Eval |
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  | ----- | ----------| ------------------- | -------------------- |
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- | GPT-4 | 86.6 | 47 | 55.26 |
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  | patched-coder-34b | 53.57 | 41.34 | 51.32 |
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  | CodeLlama-34b-Python | 53.29 | 33.14 | 27.63 |
 
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  Based on the results on these benchmarks, patched-coder-34b is the SOTA open code LLM. Other code LLMs (e.g. from WizardCoder and Phind) are trained on
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  either unknown proprietary datasets or used OpenAI's APIs for training, thus making them unviable for commercial use.
 
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  | Model | HumanEval | HumanEval Fix Python| Static Analysis Eval |
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  | ----- | ----------| ------------------- | -------------------- |
 
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  | patched-coder-34b | 53.57 | 41.34 | 51.32 |
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  | CodeLlama-34b-Python | 53.29 | 33.14 | 27.63 |
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+ | GPT-4 | 86.6 | 47 | 55.26 |
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  Based on the results on these benchmarks, patched-coder-34b is the SOTA open code LLM. Other code LLMs (e.g. from WizardCoder and Phind) are trained on
130
  either unknown proprietary datasets or used OpenAI's APIs for training, thus making them unviable for commercial use.