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  Model Card for security-qwen2.5-3b-coder-instruct
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  Model Description
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  This model, security-qwen2.5-3b-coder-instruct, is a fine-tuned version of QWen2.5-Coder-3B specifically adapted for vulnerability detection in software code. It has been trained on a cleaned version of the ReposVul dataset, which includes vulnerabilities from C, C++, Java, and Python programming languages. The fine-tuning was performed using the LoRA (Low-Rank Adaptation) method to efficiently adapt the base model for this specific task.
 
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+ ---
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+ language:
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+ - "en"
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+ thumbnail: "thumbnail_url_here" # Replace with your thumbnail URL
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+ tags:
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+ - "fine-tuning"
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+ - "LoRA"
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+ - "vulnerability-detection"
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+ - "code-analysis"
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+ license: "apache-2.0" # Replace with your chosen license
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+ datasets:
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+ - "your_username/cleaned-reposvul" # Update with your dataset URL
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+ base_model: "Qwen/Qwen2.5-Coder-3B"
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+ ---
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+
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  Model Card for security-qwen2.5-3b-coder-instruct
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  Model Description
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  This model, security-qwen2.5-3b-coder-instruct, is a fine-tuned version of QWen2.5-Coder-3B specifically adapted for vulnerability detection in software code. It has been trained on a cleaned version of the ReposVul dataset, which includes vulnerabilities from C, C++, Java, and Python programming languages. The fine-tuning was performed using the LoRA (Low-Rank Adaptation) method to efficiently adapt the base model for this specific task.