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README.md
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@@ -23,16 +23,3 @@ GGML quants available [here](https://huggingface.co/TheBloke/Marx-3b-GGML).</br>
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GPTQ quants available [here](https://huggingface.co/TheBloke/Marx-3b-GPTQ).
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Note: Don't expect this model to be good, I was just starting out to finetune. So don't roast me please!
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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_acrastt__Marx-3B)
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| Metric | Value |
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| Avg. | 36.5 |
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| ARC (25-shot) | 43.17 |
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| HellaSwag (10-shot) | 72.68 |
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| MMLU (5-shot) | 28.46 |
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| TruthfulQA (0-shot) | 39.09 |
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| Winogrande (5-shot) | 65.59 |
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| GSM8K (5-shot) | 1.29 |
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| DROP (3-shot) | 5.22 |
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GPTQ quants available [here](https://huggingface.co/TheBloke/Marx-3b-GPTQ).
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Note: Don't expect this model to be good, I was just starting out to finetune. So don't roast me please!
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