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.
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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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Environmental Impact Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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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 |