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README.md
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This is a qlora finetune of NeuralNovel/Valor-7B-v0.1 using the **Thermostatic/flowers** dataset.
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# Training Details
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This is a qlora finetune of NeuralNovel/Valor-7B-v0.1 using the **Thermostatic/flowers** dataset.
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Model Sources [optional]
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Repository: [More Information Needed]
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Paper [optional]: [More Information Needed]
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Demo [optional]: [More Information Needed]
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Uses
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Direct Use
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[More Information Needed]
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Downstream Use [optional]
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[More Information Needed]
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Out-of-Scope Use
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[More Information Needed]
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Bias, Risks, and Limitations
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[More Information Needed]
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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.
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How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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Training Details
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Training Data
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[More Information Needed]
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Training Procedure
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Preprocessing [optional]
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[More Information Needed]
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Training Hyperparameters
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Training regime: [More Information Needed]
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Speeds, Sizes, Times [optional]
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[More Information Needed]
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Evaluation
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Testing Data, Factors & Metrics
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Testing Data
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[More Information Needed]
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Factors
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[More Information Needed]
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Metrics
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[More Information Needed]
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Results
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[More Information Needed]
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Summary
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Model Examination [optional]
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[More Information Needed]
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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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Hardware Type: [More Information Needed]
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Hours used: [More Information Needed]
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Cloud Provider: [More Information Needed]
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Compute Region: [More Information Needed]
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Carbon Emitted: [More Information Needed]
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Technical Specifications [optional]
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Model Architecture and Objective
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[More Information Needed]
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Compute Infrastructure
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[More Information Needed]
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Hardware
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[More Information Needed]
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Software
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[More Information Needed]
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Citation [optional]
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BibTeX:
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[More Information Needed]
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APA:
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[More Information Needed]
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Glossary [optional]
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[More Information Needed]
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More Information [optional]
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[More Information Needed]
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Model Card Authors [optional]
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[More Information Needed]
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Model Card Contact
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[More Information Needed]
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# Training Details
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