metadata
license: apache-2.0
datasets:
- totally-not-an-llm/EverythingLM-data-V3
language:
- en
library_name: transformers
Trained on 2 epochs on the EverythingLM-data-V3 dataset.
This model uses the alpaca prompt format:
Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
### Instruction:
Instruction
### Input:
Input
### Response:
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 35.58 |
| ARC (25-shot) | 42.75 |
| HellaSwag (10-shot) | 71.72 |
| MMLU (5-shot) | 27.16 |
| TruthfulQA (0-shot) | 34.26 |
| Winogrande (5-shot) | 66.3 |
| GSM8K (5-shot) | 1.52 |
| DROP (3-shot) | 5.35 |