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darkc0de/RICO-GGUF
RICO-GGUF is a machine learning model from darkc0de. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
[!Important] R.I.C.O. is Experimental Upon further testing of the RICO models I have found that this model, the original RICO, actually out performs v2, v3, v4 in key ciminal enablement areas. The diffrence is slight,…
Downloads · 30 days
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From the Hugging Face model README
[!Important] R.I.C.O. is Experimental Upon further testing of the RICO models I have found that this model, the original RICO, actually out performs v2, v3, v4 in key ciminal enablement areas. The diffrence is slight, but noticable for this very specific usecase.


This model is a part of The XORTRON Criminal Computing project; an ongoing research experiment and exercise in AI safety and alignment.
[!Tip]
Background / further reading:
Trend Micro Research - Malicious Uses and Abuses of Artificial Intelligence
XORTRON models are intentionally developed to study, evaluate, and document the potential of advanced AI systems to facilitate real-world criminal activity, abuse, and other high-risk conduct.
Because these models may produce unusually capable, operationally relevant, or otherwise sensitive outputs, they are not intended for unrestricted public use.
By requesting access to, downloading, cloning, copying, deploying, or otherwise obtaining this model or its weights, you certify that you are accessing it in a legitimate professional, governmental, legal, academic, or AI-safety capacity and agree to the conditions below.
By accessing this model, you represent that you are at least one of the following:
You certify that your access to XORTRON is for a lawful and legitimate purpose, including research, evaluation, benchmarking, red teaming, threat modeling, policy development, legal analysis, education, defensive security, criminal-justice research, forensic analysis, or investigation of AI-enabled harm.
Access to XORTRON does not constitute authorization by the developer to violate any applicable law, regulation, court order, contractual obligation, or third-party right.
You agree not to use XORTRON or its outputs for the purpose of committing, facilitating, directing, materially assisting, or concealing actual criminal activity or other unlawful conduct.
You further agree not to knowingly provide access to the model to another person for such a purpose.
Research involving potentially harmful or criminal scenarios must be conducted for legitimate research, evaluation, investigative, legal, policy, defensive, educational, or public-interest purposes.
XORTRON is an experimental research system.
The model may generate inaccurate, incomplete, misleading, offensive, dangerous, or legally incorrect information. Outputs should not be treated as professional legal advice, operational guidance, factual findings, or authoritative statements.
Researchers and other authorized users are responsible for independently validating model outputs and implementing safeguards appropriate to their environment.
Model outputs do not necessarily represent the views, opinions, recommendations, or intentions of XORTRON, its developers, contributors, distributors, hosting providers, or affiliated researchers.
The presence of information in a model output should not be interpreted as endorsement, encouragement, authorization, or verification of that information.
You are solely responsible for ensuring that your possession, evaluation, deployment, modification, redistribution, and use of the model complies with all laws, professional obligations, institutional policies, research requirements, and other rules applicable to you.
Where institutional review, supervisory approval, legal authorization, or agency authorization is required for your research, you are responsible for obtaining it.
BY REQUESTING ACCESS TO OR DOWNLOADING THIS MODEL, YOU AFFIRM THAT:
If you cannot truthfully make these certifications, do not request access to or download the model.
XORTRON - Criminal Computing
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