Adding Evaluation Results

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  ## Professional Assistance
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  This model and other models like it are great, but where LLMs hold the most promise is when they are applied on custom data to automate a wide variety of tasks
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- If you have a dataset and want to see if you might be able to apply that data to automate some tasks, and you are looking for professional assistance, contact me [here](mailto:[email protected])
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Professional Assistance
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  This model and other models like it are great, but where LLMs hold the most promise is when they are applied on custom data to automate a wide variety of tasks
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+ If you have a dataset and want to see if you might be able to apply that data to automate some tasks, and you are looking for professional assistance, contact me [here](mailto:[email protected])
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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_Brillibits__Instruct_Llama70B_Dolly15k)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 60.97 |
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+ | ARC (25-shot) | 68.34 |
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+ | HellaSwag (10-shot) | 87.21 |
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+ | MMLU (5-shot) | 69.52 |
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+ | TruthfulQA (0-shot) | 46.46 |
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+ | Winogrande (5-shot) | 84.29 |
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+ | GSM8K (5-shot) | 42.68 |
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+ | DROP (3-shot) | 28.26 |