Adding Evaluation Results

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  1. README.md +14 -1
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@@ -585,4 +585,17 @@ All airoboros models and datasets are intended and licensed for research use onl
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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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  - 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-gpt4)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 45.23 |
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+ | ARC (25-shot) | 53.07 |
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+ | HellaSwag (10-shot) | 78.69 |
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+ | MMLU (5-shot) | 38.9 |
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+ | TruthfulQA (0-shot) | 40.72 |
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+ | Winogrande (5-shot) | 73.09 |
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+ | GSM8K (5-shot) | 1.74 |
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+ | DROP (3-shot) | 30.39 |