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# GPT4 x Alpaca
As a base model we used: alpaca-13b
Finetuned on GPT4's responses, for 3 epochs.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 46.78 |
| ARC (25-shot) | 52.82 |
| HellaSwag (10-shot) | 79.59 |
| MMLU (5-shot) | 48.19 |
| TruthfulQA (0-shot) | 48.88 |
| Winogrande (5-shot) | 70.17 |
| GSM8K (5-shot) | 2.81 |
| DROP (3-shot) | 24.99 |