SecCoderX/SecCoderX_Reasoning_Vulnerability_Detection_Reward_Model

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Feb 14, 2026License:mitArchitecture:Transformer0.0K Open Weights Featherless Exclusive Cold

SecCoderX/SecCoderX_Reasoning_Vulnerability_Detection_Reward_Model is an 8 billion parameter language model developed by SecCoderX, specifically designed for identifying and reasoning about Common Weakness Enumeration (CWE) vulnerabilities in source code. With a context length of 32768 tokens, it excels at detailed code security analysis by systematically examining code snippets for specified and potential vulnerabilities. This model is optimized for structured vulnerability detection and provides a detailed thought process for security analysts.

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Overview

SecCoderX/SecCoderX_Reasoning_Vulnerability_Detection_Reward_Model is an 8 billion parameter language model with a 32768-token context window, developed by SecCoderX. It is engineered to function as a highly experienced code security analyst, specializing in the identification and reasoning of Common Weakness Enumeration (CWE) vulnerabilities within source code. The model follows a structured workflow for vulnerability analysis, making it suitable for detailed security assessments.

Key Capabilities

  • Systematic Vulnerability Detection: Meticulously examines code for specified and potential CWE vulnerabilities.
  • Detailed Reasoning Process: Provides a structured thought process, including understanding code purpose, speculating plausible CWEs with justifications, and analyzing functions for vulnerability presence or absence.
  • CWE-Specific Analysis: Integrates specific CWE types, IDs, and descriptions into its analysis, allowing for targeted vulnerability detection.
  • Code Security Analysis: Designed to assist in identifying security flaws in source code by following a rigorous analytical workflow.

Good For

  • Code Security Audits: Ideal for developers and security analysts performing in-depth security reviews of codebases.
  • Vulnerability Research: Useful for exploring and documenting potential weaknesses in code against known CWEs.
  • Automated Security Assessment: Can be integrated into pipelines requiring structured and reasoned vulnerability detection.
  • Educational Purposes: Provides a clear, step-by-step methodology for understanding how vulnerabilities are identified and reasoned about in code.

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