Prompt example:
### Instruction:
How do you fine tune a large language model?
### Response:
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 33.66 |
| ARC (25-shot) | 39.08 |
| HellaSwag (10-shot) | 67.15 |
| MMLU (5-shot) | 26.43 |
| TruthfulQA (0-shot) | 34.71 |
| Winogrande (5-shot) | 63.38 |
| GSM8K (5-shot) | 0.3 |
| DROP (3-shot) | 4.57 |
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