---
license: cc-by-nc-4.0
---
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__LLongMA-3b-LIMA)

| 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         |