YuRiVeRTi/VQ1

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VQV1

USED FOR PERSONAL ONLY

• Developed by: [YuRiVeRTi]:
• Funded by [YuRiVeRTi]:
• Shared by [YuRiVeRTi]: [DEVELOP BY YURIVERTI FOR FINETUNE VR WITH UNCENSORED CAN RUN LOCALLY ON THE COMMAND]
• Model type: [VQV1]
• Language(s) (NLP): [Ml.LLM]
• License: [ALPHACT 2.0]
• Finetuned from model : [VQV1 RUNS ON V3 MODLE ]

Model Sources [optional]

• Repository: []
• open-thoughts/OpenThoughts-114k
• Paper [optional]: [More Information Needed]
• Demo [optional]: [More Information Needed]

Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

• Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

• Hardware Type: [RTX 5090 Ti]
• Hours used: [2160 hours]
• Cloud Provider: [CLOUDFARE & GITHUB'HUGGING FACE]
• Compute Region: [More Information Needed]
• Carbon Emitted: [500 kg of CO2 ]

Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

[RTX 5090 Ti]

Software

[ORACAL.LINUX.LINUX ARCH]

Citation [optional]

BibTeX:

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APA:

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Glossary [optional]

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More Information [optional]

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Model Card Authors [optional]

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Model Card Contact

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