Model Card for Model ID
Model Details
Model Description
- Developed by: Anirudh Sriram, Vishwa Akkati, Nitin Kanchi, Arnav Cherukuthota
- Model type: Mistral 7B Instruction Fine Tuned on custom dataset
- Language(s) (NLP): English
- License: MIT License
- Finetuned from model [optional]: mistralai/Mistral-7B-Instruct-v0.1
Model Sources [optional]
Uses
Social Media for the Visually Impaired
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
Limited to only the echo app
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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.
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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: GCP T4
- Hours used: 1 hour
- Cloud Provider: Intel Developer Cloud
- Compute Region: US-West
Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
BibTeX:
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APA:
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Glossary [optional]
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Model Card Authors [optional]
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Framework versions
