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Model: chargoddard/llama2-22b-blocktriangular Source: Original Platform
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README.md
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README.md
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---
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datasets:
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- togethercomputer/RedPajama-Data-1T-Sample
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tags:
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- llama2
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- llama
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---
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Similar to llama2-22b, but with BLOCK_DIAGONAL=false in the merge and twice the fine-tuning tokens.
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Again, not intended for direct use - meant as a base for further tuning and merging.
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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_chargoddard__llama2-22b-blocktriangular)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 46.86 |
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| ARC (25-shot) | 58.28 |
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| HellaSwag (10-shot) | 82.69 |
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| MMLU (5-shot) | 54.53 |
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| TruthfulQA (0-shot) | 39.23 |
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| Winogrande (5-shot) | 75.93 |
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| GSM8K (5-shot) | 11.22 |
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| DROP (3-shot) | 6.17 |
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