PEFT
Safetensors
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Lotus-7B / README.md
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---
license: apache-2.0
datasets:
- Thermostatic/flowers
library_name: peft
tags:
- generated_from_trainer
base_model: NeuralNovel/Valor-7B-v0.1
model-index:
- name: qlora-out
results: []
---
# Lotus-7B
This is a qlora finetune of NeuralNovel/Valor-7B-v0.1 using the **Thermostatic/flowers** dataset.
Model Sources [optional]
Repository: [More Information Needed]
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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
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: [More Information Needed]
Hours used: [More Information Needed]
Cloud Provider: [More Information Needed]
Compute Region: [More Information Needed]
Carbon Emitted: [More Information Needed]
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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APA:
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Glossary [optional]
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Model Card Authors [optional]
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Model Card Contact
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# Training Details
Coming soon