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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{}
---
**Method** : QLORA
**Dataset** : yahma/alpaca-cleaned
**Base model** : huggyllama/llama-30b
**Compute dtype** : bfloat16
# [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_dsvv-cair__alpaca-cleaned-llama-30b-bf16)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 50.12 |
| ARC (25-shot) | 61.77 |
| HellaSwag (10-shot) | 85.06 |
| MMLU (5-shot) | 57.52 |
| TruthfulQA (0-shot) | 51.49 |
| Winogrande (5-shot) | 77.35 |
| GSM8K (5-shot) | 7.73 |
| DROP (3-shot) | 9.91 |