llama2-Rav

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Model Details

Model Description

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• Developed by: tomer-shimshi
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• Model type: [meta llame 2 -7b]
• Language(s) (NLP): English
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• Finetuned from model [optional]: [More Information Needed]

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Uses

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To use the full Rav pipline please refer to the attached finale_project_Rav_talk.py file And for another RAG based Rav please visit the full git hub repo here https://github.com/TomerShimshi/Project

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

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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

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Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

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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

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

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Technical Specifications [optional]

Model Architecture and Objective

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Hardware

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Software

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Citation [optional]

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Glossary [optional]

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Framework versions

• PEFT 0.10.0