README.md

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license: cc-by-nc-4.0
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# Overview

This is a fine-tuned 7b parameter LlaMa model, using completely synthetic training data created by https://github.com/jondurbin/airoboros

__*I don't recommend using this model! The outputs aren't particularly great, and it may contain "harmful" data due to jailbreak*__

Please see one of the updated airoboros models for a much better experience.

### Training data

This was an experiment to see if a "jailbreak" prompt could be used to generate a broader range of data that would otherwise have been filtered by OpenAI's alignment efforts.

The jailbreak did indeed work with a high success rate, and caused OpenAI to generate a broader range of topics and fewer refusals to answer questions/instructions of sensitive topics.

### Usage and License Notices

All airoboros models and datasets are intended and licensed for research use only.  I've used the 'cc-nc-4.0' license, but really it is subject to a custom/special license because:

- the base model is LLaMa, which has it's own special research license
- the dataset(s) were generated with OpenAI (gpt-4 and/or gpt-3.5-turbo), which has a clausing saying the data can't be used to create models to compete with openai

So, to reiterate: this model (and datasets) cannot be used commercially.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__airoboros-7b)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 44.01   |
| ARC (25-shot)         | 53.07          |
| HellaSwag (10-shot)   | 77.65    |
| MMLU (5-shot)         | 37.23         |
| TruthfulQA (0-shot)   | 43.39   |
| Winogrande (5-shot)   | 70.96   |
| GSM8K (5-shot)        | 2.12        |
| DROP (3-shot)         | 23.66         |