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README.md

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+Quantization made by Richard Erkhov.
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+[Github](https://github.com/RichardErkhov)
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+[Discord](https://discord.gg/pvy7H8DZMG)
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+[Request more models](https://github.com/RichardErkhov/quant_request)
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+
+Llama-2-7b-hf-eli5-cleaned-1024_qlora_merged - bnb 8bits
+- Model creator: https://huggingface.co/dhmeltzer/
+- Original model: https://huggingface.co/dhmeltzer/Llama-2-7b-hf-eli5-cleaned-1024_qlora_merged/
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+Original model description:
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+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_dhmeltzer__Llama-2-7b-hf-eli5-cleaned-1024_qlora_merged)
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+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 44.13   |
+| ARC (25-shot)         | 53.67          |
+| HellaSwag (10-shot)   | 78.21    |
+| MMLU (5-shot)         | 45.9         |
+| TruthfulQA (0-shot)   | 46.13   |
+| Winogrande (5-shot)   | 73.8   |
+| GSM8K (5-shot)        | 4.7        |
+| DROP (3-shot)         | 6.53         |
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