metadata
license: cc-by-nc-4.0
datasets:
- KnutJaegersberg/WizardLM_evol_instruct_V2_196k_instruct_format
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. | 26.63 |
| ARC (25-shot) | 26.37 |
| HellaSwag (10-shot) | 38.39 |
| MMLU (5-shot) | 23.6 |
| TruthfulQA (0-shot) | 41.19 |
| Winogrande (5-shot) | 52.33 |
| GSM8K (5-shot) | 0.0 |
| DROP (3-shot) | 4.54 |