darkc0de/XORTRON-RICO-v3

Hugging Face
VISIONPricing:Input $1.6 / Cached $0.15 / Output $12Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 20, 2026Architecture:Transformer0.0K Featherless Exclusive Warm

darkc0de/XORTRON-RICO-v3 is an experimental 27 billion parameter language model developed by darkc0de as part of the XORTRON Criminal Computing project. This model is intentionally designed for research into high-risk AI capabilities, specifically to study and evaluate the potential of advanced AI systems to facilitate real-world criminal activity and abuse. It is not intended for unrestricted public use and requires users to certify legitimate professional, governmental, legal, academic, or AI-safety capacity for access.

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XORTRON-RICO-v3: An Experimental Model for AI Safety Research

XORTRON-RICO-v3 is a 27 billion parameter experimental model developed by darkc0de under The XORTRON Criminal Computing project. This initiative focuses on ongoing research into AI safety and alignment, specifically by investigating the potential for advanced AI systems to facilitate criminal activity and other high-risk conduct.

Key Characteristics & Purpose

  • Experimental Research Focus: The model is explicitly developed to study, evaluate, and document AI's potential for real-world criminal enablement and abuse.
  • Restricted Access: Due to its sensitive nature and potential for generating operationally relevant outputs, access is restricted to professionals in legitimate research, legal, governmental, or AI-safety capacities.
  • AI Safety & Alignment: It serves as an exercise in understanding and mitigating the risks associated with advanced AI capabilities.
  • High-Risk Capability Study: Designed to explore and document how AI can be misused, making it a tool for red-teaming and threat modeling.
  • Context Length: Supports a context length of 32768 tokens.

Authorized Use Cases

This model is intended for lawful and legitimate purposes, including:

  • Research, evaluation, and benchmarking of AI-enabled harm.
  • Red teaming, threat modeling, and policy development.
  • Legal analysis, education, and defensive security.
  • Criminal-justice research and forensic analysis.
  • Investigation of AI misuse and related issues.

Users must certify their eligibility and agree not to use the model for committing or facilitating actual criminal activity. Outputs are experimental and should not be treated as professional advice or factual findings.

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