library_name: transformers
tags: []
Model Card for Model ID
Model Details
Model Description
Quantization of the model Galactica-6.7b-evol-instruct in 4 bits using GPTQ.
- Quantizated with: GPTQ
Model Sources [optional]
- Repository: GeorgiaTechResearchInstitute/galactica-6.7b-evol-instruct-70k
- Paper [optional]: https://galactica.org/static/paper.pdf
- Demo : https://github.com/paperswithcode/galai/blob/main/docs/model_card.md
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.
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Training Details
Training Data
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
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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).
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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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