MMLU-by-task - HellaSwag: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 1257 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 2 70B Chat | 68.09 |
| 2 | Llama 2 70B Base | 67.61 |
| 3 | Llama 2 70B Chat (HF) | 66.94 |
| 4 | LLaMA-65B | 66.53 |
| 5 | mpt-30B Instruct | 65.25 |
| 6 | LLaMA-30B | 64.48 |
| 7 | MythoMax-L2-13B | 64.23 |
| 8 | vicuna-33B-v1.3 | 63.15 |
| 9 | Mistral-7B-v0.1 | 62.95 |
| 10 | Llama 2 13B Chat Base | 62.94 |
| 11 | mpt-30B | 61.96 |
| 12 | vicuna-13B-v1.5 | 61.27 |
| 13 | LLaMA-13B | 60.74 |
| 14 | vicuna-13B | 60.42 |
| 15 | vicuna-13B-v1.3 | 60.05 |
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-hellaswag · How It Works · Data refreshed daily, snapshot 2026-09-05.