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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