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Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


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/




Original model description:

# [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)

| 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         |