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@@ -28,6 +28,8 @@ where each program is a file that has exactly 1 vulnerability as detected by a p
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  The top models on the leaderboard are all fine-tuned using the same dataset that we released called [synth vuln fixes](https://huggingface.co/datasets/patched-codes/synth-vuln-fixes).
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  You can read about our experience with fine-tuning them on our [blog](https://www.patched.codes/blog/a-comparative-study-of-fine-tuning-gpt-4o-mini-gemini-flash-1-5-and-llama-3-1-8b).
 
 
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  | Model | StaticAnalysisEval (%) | Time (mins) | Price (USD) |
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  |:-------------------------:|:----------------------:|:-------------:|:-----------:|
@@ -64,6 +66,3 @@ You can read about our experience with fine-tuning them on our [blog](https://ww
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  The price is calcualted by assuming 1000 input and output tokens per call as all examples in the dataset are < 512 tokens (OpenAI cl100k_base tokenizer).
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  Some models timed out during the run or had intermittent API errors. We try each example 3 times in such cases. This is why some runs are reported to be longer than 1 hr (60:00+ mins).
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- You can also explore the leaderboard with this [visualization](https://claude.site/artifacts/5656c16d-9751-407c-9631-a3526c259354).
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- ![Visualization of the leaderboard](./visualization.png)
 
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  The top models on the leaderboard are all fine-tuned using the same dataset that we released called [synth vuln fixes](https://huggingface.co/datasets/patched-codes/synth-vuln-fixes).
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  You can read about our experience with fine-tuning them on our [blog](https://www.patched.codes/blog/a-comparative-study-of-fine-tuning-gpt-4o-mini-gemini-flash-1-5-and-llama-3-1-8b).
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+ You can also explore the leaderboard with this [interactive visualization](https://claude.site/artifacts/5656c16d-9751-407c-9631-a3526c259354).
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+ ![Visualization of the leaderboard](./visualization.png)
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  | Model | StaticAnalysisEval (%) | Time (mins) | Price (USD) |
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  |:-------------------------:|:----------------------:|:-------------:|:-----------:|
 
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  The price is calcualted by assuming 1000 input and output tokens per call as all examples in the dataset are < 512 tokens (OpenAI cl100k_base tokenizer).
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  Some models timed out during the run or had intermittent API errors. We try each example 3 times in such cases. This is why some runs are reported to be longer than 1 hr (60:00+ mins).