---
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](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_KnutJaegersberg__megatron-gpt2-345m-evol_instruct_v2)

| 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         |