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Model: Q-bert/MetaMath-Cybertron-Starling Source: Original Platform
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README.md
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---
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license: cc-by-nc-4.0
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datasets:
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- meta-math/MetaMathQA
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- Math
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- merge
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base_model:
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- Q-bert/MetaMath-Cybertron
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- berkeley-nest/Starling-LM-7B-alpha
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---
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## MetaMath-Cybertron-Starling
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Merge [Q-bert/MetaMath-Cybertron](https://huggingface.co/Q-bert/MetaMath-Cybertron) and [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha) using slerp merge.
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You can use ChatML format.
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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/results/blob/main/Q-bert/MetaMath-Cybertron-Starling/results_2023-12-07T21-59-56.458563.json)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 71.35 |
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| ARC (25-shot) | 67.75 |
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| HellaSwag (10-shot) | 86.23 |
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| MMLU (5-shot) | 65.24 |
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| TruthfulQA (0-shot) | 55.94 |
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| Winogrande (5-shot) | 81.45 |
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| GSM8K (5-shot) | 71.49 |
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