Mistral-7B-Instruct-Echo-FC

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Model Details

Model Description

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• 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]

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• Repository: https://huggingface.co/VishFish/Mistral-7B-Instruct-Echo-FC
• Demo [optional]: https://youtu.be/7VzgsMyVVM4

Uses

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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

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Limited to only the echo app

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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

• Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

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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

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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).

• 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]

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Glossary [optional]

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Framework versions

• PEFT 0.10.0