Yukendiran/Liceron-SecOps-Model

TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Feb 13, 2026Architecture:Transformer Featherless Exclusive Cold

Yukendiran/Liceron-SecOps-Model is a 7.6 billion parameter language model based on the Qwen2.5 architecture, created by Yukendiran through a TIES merge. This model integrates specialized capabilities from Deepthink-Reasoning-7B, Qwen2.5-Coder-7B-Instruct, Qwen2.5-Math-7B, and DeepHat-V1-7B. It is specifically optimized for security operations (SecOps) tasks, combining strong reasoning, coding, mathematical, and security-focused understanding within a 32768 token context window.

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Liceron-SecOps-Model: A Specialized 7.6B LLM

Liceron-SecOps-Model is a 7.6 billion parameter language model developed by Yukendiran, built upon the Qwen2.5 architecture. It was created using the TIES (Trimming and Expanding) merge method, combining several specialized pre-trained models to achieve a focused capability set. The base model for this merge was Qwen2.5-7B.

Key Capabilities

This model integrates strengths from multiple sources, making it particularly adept for technical and security-related applications:

  • Enhanced Security Focus: Incorporates DeepHat/DeepHat-V1-7B with a boosted weight, providing a strong foundation for security operations (SecOps) tasks.
  • Advanced Reasoning: Benefits from prithivMLmods/Deepthink-Reasoning-7B, significantly improving its logical and analytical reasoning abilities.
  • Coding Proficiency: Includes Qwen/Qwen2.5-Coder-7B-Instruct, endowing it with robust code generation and understanding capabilities.
  • Mathematical Acumen: Integrates Qwen/Qwen2.5-Math-7B, enhancing its performance on mathematical and logical problems.

Ideal Use Cases

Given its specialized merge, Liceron-SecOps-Model is well-suited for:

  • Security Operations: Analyzing security logs, threat intelligence, vulnerability assessment, and incident response.
  • Technical Problem Solving: Tasks requiring strong logical reasoning, code analysis, and mathematical computations.
  • Developer Assistance: Generating and debugging code, especially in security-sensitive contexts.

This model offers a unique blend of capabilities for users requiring a powerful, specialized LLM in technical and cybersecurity domains.

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