---
# 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         |