PEFT
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Lotus-7B / README.md
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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
datasets:
  - Thermostatic/flowers
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] Paper [optional]: [More Information Needed] Demo [optional]: [More Information Needed] Uses Direct Use [More Information Needed]

Downstream Use [optional] [More Information Needed]

Out-of-Scope Use [More Information Needed]

Bias, Risks, and Limitations [More Information Needed]

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.

[More Information Needed]

Training Details Training Data [More Information Needed]

Training Procedure Preprocessing [optional] [More Information Needed]

Training Hyperparameters Training regime: [More Information Needed] Speeds, Sizes, Times [optional] [More Information Needed]

Evaluation Testing Data, Factors & Metrics Testing Data [More Information Needed]

Factors [More Information Needed]

Metrics [More Information Needed]

Results [More Information Needed]

Summary Model Examination [optional] [More Information Needed]

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 [More Information Needed]

Compute Infrastructure [More Information Needed]

Hardware [More Information Needed]

Software [More Information Needed]

Citation [optional] BibTeX:

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APA:

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Glossary [optional] [More Information Needed]

More Information [optional] [More Information Needed]

Model Card Authors [optional] [More Information Needed]

Model Card Contact [More Information Needed]

Training Details

Coming soon

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 70.32
AI2 Reasoning Challenge (25-Shot) 66.47
HellaSwag (10-Shot) 84.80
MMLU (5-Shot) 64.64
TruthfulQA (0-shot) 55.57
Winogrande (5-shot) 82.16
GSM8k (5-shot) 68.31