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@@ -299,6 +299,6 @@ These metrics collectively provide a multi-dimensional view of the model’s eff
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  # Summary
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- Solidity LLM, despite its compact 2B parameter size, delivers standout performance in generating Solidity smart contracts. It achieved the highest compilation success rate (~83%), showcasing robust syntactic and structural understanding. Its strong OpenZeppelin compliance (~65%), though slightly behind very large models like GPT-4.5, is impressive given the scale difference, reflecting reliable use of industry-standard patterns and libraries.
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- Further, Solidity LLM ranked highest in gas efficiency (~72%), producing optimized code suitable for cost-sensitive deployments. While the security score (~58%) indicates room for improvement, the model consistently generated secure-enough contracts for practical use. Its concise output (~70% LOC score) also suggests an efficient coding style, balancing brevity with completeness.
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  Overall, Solidity LLM proves to be a resource-efficient, reliable, and well-balanced model for Solidity code generation.
 
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  # Summary
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+ Solidity LLM, despite its compact 2B parameter size, delivers standout performance in generating Solidity smart contracts. It achieved the highest compilation success rate (83%), showcasing robust syntactic and structural understanding. Its strong OpenZeppelin compliance (65%), though slightly behind very large models like GPT-4.5, is impressive given the scale difference, reflecting reliable use of industry-standard patterns and libraries.
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+ Further, Solidity LLM ranked highest in gas efficiency (72%), producing optimized code suitable for cost-sensitive deployments. While the security score (58%) indicates room for improvement, the model consistently generated secure-enough contracts for practical use. Its concise output (70% LOC score) also suggests an efficient coding style, balancing brevity with completeness.
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  Overall, Solidity LLM proves to be a resource-efficient, reliable, and well-balanced model for Solidity code generation.