README.md

---
datasets:
- breadlicker45/musenet-encoders-12k
---
# [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_BreadAi__MusePy-1-2)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 25.26   |
| ARC (25-shot)         | 25.77          |
| HellaSwag (10-shot)   | 25.94    |
| MMLU (5-shot)         | 25.22         |
| TruthfulQA (0-shot)   | 49.33   |
| Winogrande (5-shot)   | 50.51   |
| GSM8K (5-shot)        | 0.0        |
| DROP (3-shot)         | 0.07         |