Adding Evaluation Results
#8
by
leaderboard-pr-bot
- opened
README.md
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@@ -45,3 +45,17 @@ Stable revision:
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from transformers import AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("w601sxs/b1ade-1b", torch_dtype=torch.bfloat16, device_map="auto", revision='b4b0fd71589e6590089e1ec14a840ecab10894ae')
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```
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from transformers import AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("w601sxs/b1ade-1b", torch_dtype=torch.bfloat16, device_map="auto", revision='b4b0fd71589e6590089e1ec14a840ecab10894ae')
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```
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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_w601sxs__b1ade-1b)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 28.54 |
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| ARC (25-shot) | 28.58 |
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| HellaSwag (10-shot) | 46.08 |
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| MMLU (5-shot) | 25.11 |
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| TruthfulQA (0-shot) | 41.34 |
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| Winogrande (5-shot) | 53.83 |
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| GSM8K (5-shot) | 0.61 |
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| DROP (3-shot) | 4.25 |
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