Upload folder using huggingface_hub

README.md

@@ -52,8 +52,8 @@ Model is deployed on huggingface space for inference
 We have compared our model with the following models
 - GPT 4.5 Preview
 - GPT 4o mini
-- Gwen 2.5-Coder-7B
-- DeepSeek-Coder-7B-Instruct-v1.5
+- [Qwen 2.5-Coder-7B](https://huggingface.co/Qwen/Qwen2.5-Coder-7B)
+- [DeepSeek-Coder-7B-Instruct-v1.5](https://huggingface.co/deepseek-ai/deepseek-coder-7b-instruct-v1.5)
 
 On the following parameters
 - **Compilation(%)** - Percentage of generated contracts that compile successfully without modification.
@@ -68,9 +68,9 @@ Below is a figure summarizing the performance of each model across the four eval
 
 Following obvservation were made regarding Solidity LLM.
 - Highest Compilation Success Rate (~83%), demonstrating strong Solidity syntax and structure generation.
-- Good OpenZeppelin Compliance (~65%), indicating frequent use of standard libraries and contract patterns.
+- Good OpenZeppelin Compliance (~65%), indicating frequent use of standard libraries and contract patterns. While GPT-4.5, being a much larger model, naturally exhibits stronger adherence to OpenZeppelin standards due to its broader training data, Solidity LLM achieves commendable compliance given its smaller size.
 - Top Gas Efficiency (~72%), producing optimized code as evaluated by tools like Slither.
-- Moderate Security Score (~58%), showing acceptable security posture but room for improvement.
+- Moderate Security Score (~58%), showing acceptable security posture but room for improvement. GPT-4.5 benefits from its scale in handling more security cases.
 - Concise Code (~70% LOC score), generating relatively compact and efficient smart contracts.