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license: cc-by-nc-4.0 |
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# Overview |
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This is a fine-tuned 7b parameter LlaMa model, using completely synthetic training data created by https://github.com/jondurbin/airoboros |
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__*I don't recommend using this model! The outputs aren't particularly great, and it may contain "harmful" data due to jailbreak*__ |
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Please see one of the updated airoboros models for a much better experience. |
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### Training data |
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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. |
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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. |
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### Usage and License Notices |
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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: |
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- the base model is LLaMa, which has it's own special research license |
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- 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 |
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So, to reiterate: this model (and datasets) cannot be used commercially. |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__airoboros-7b) |
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| Metric | Value | |
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| Avg. | 44.01 | |
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| ARC (25-shot) | 53.07 | |
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| HellaSwag (10-shot) | 77.65 | |
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| MMLU (5-shot) | 37.23 | |
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| TruthfulQA (0-shot) | 43.39 | |
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| Winogrande (5-shot) | 70.96 | |
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| GSM8K (5-shot) | 2.12 | |
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| DROP (3-shot) | 23.66 | |
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