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@@ -46,7 +46,6 @@ Solidity-Code-LLM is a specialized language model trained in two stages: pre-tra
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  ### Model Sources
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  For more details, please refer to,
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- - **Paper [optional]:** {{ paper | default("[More Information Needed]", true)}}
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  - **Demo:** [Demo On Hugging Face Space](https://huggingface.co/spaces/Chain-GPT/SolidityLLMDemo)
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@@ -64,8 +63,12 @@ On the following parameters
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  - Security(%)--Percentage of code free from common vulnerabilities detected by Slither.
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  ## Benchmark
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- The figure below presents a detailed comparison of the models across all evaluation criteria
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  ![Benchmark](Benchmark.png)
 
 
 
 
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  # Uses
 
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  ### Model Sources
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  For more details, please refer to,
 
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  - **Demo:** [Demo On Hugging Face Space](https://huggingface.co/spaces/Chain-GPT/SolidityLLMDemo)
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  - Security(%)--Percentage of code free from common vulnerabilities detected by Slither.
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  ## Benchmark
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+ Below is a figure summarizing the performance of each model across the four evaluation metrics.
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  ![Benchmark](Benchmark.png)
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+ - Solidity LLM consistently achieved the highest compilation success rate.
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+ - It frequently adhered to OpenZeppelin standards, using appropriate imports and contract structures.
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+ - The contracts it produced were gas-efficient, as identified by Slither's optimization suggestions.
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+ - While some security vulnerabilities were detected, the overall security posture was acceptable, and the code quality remained high.
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  # Uses