oke39/llama3-8b-secure-code

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Dec 25, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

oke39/llama3-8b-secure-code, named Jack, is an 8 billion parameter Llama-3 fine-tune developed by oke39, specifically engineered to detect and fix security vulnerabilities in Python code. This model acts as an automated security auditor, taking insecure code as input and outputting a hardened, secure version. It achieves an 88.0% Bandit Pass Rate and a BLEU Score of 69.27, demonstrating high accuracy in generating secure patches. The model is optimized for identifying and remediating common vulnerabilities like SQL Injection, XSS, and Command Injection.

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What is oke39/llama3-8b-secure-code?

Jack is a specialized 8 billion parameter Llama-3 model, fine-tuned by oke39, designed to function as a Secure Code Agent. Its primary purpose is to identify and remediate security vulnerabilities within Python code, transforming insecure inputs into hardened, secure outputs.

Key Capabilities

  • Automated Vulnerability Fixing: Jack takes vulnerable Python code and generates secure versions, acting as an automated security auditor.
  • High Security Patch Quality: Achieves an 88.0% Bandit Pass Rate, indicating a high success rate in generating fixes that pass static analysis security tools.
  • Structural Similarity to Expert Patches: Boasts a BLEU Score of 69.27, suggesting that its generated fixes are structurally similar to those created by human security experts.
  • Broad Vulnerability Coverage: Trained to address critical vulnerabilities including SQL Injection, Cross-Site Scripting (XSS), Command Injection, Insecure Deserialization, and Hardcoded Credentials.

Should I use this for my use case?

This model is ideal for developers and security professionals looking to automate the detection and remediation of common security flaws in Python applications. If your workflow involves Python code and you need an efficient way to enhance its security posture by automatically generating secure patches, Jack is a highly suitable tool. Its strong performance metrics in vulnerability fixing make it a valuable asset for improving code security and reducing manual auditing efforts.

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2 models