MMLU-by-task - Prehistory: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 1257 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 2 70B Base | 83.64 |
| 2 | Llama 2 70B Chat | 82.72 |
| 3 | LLaMA-65B | 74.69 |
| 4 | Mistral-7B-v0.1 | 73.46 |
| 5 | Llama 2 70B Chat (HF) | 70.99 |
| 6 | vicuna-33B-v1.3 | 68.52 |
| 7 | LLaMA-30B | 66.98 |
| 8 | vicuna-13B-v1.5 | 63.27 |
| 9 | MythoMax-L2-13B | 62.65 |
| 10 | Llama 2 13B Chat Base | 61.11 |
| 11 | vicuna-13B-v1.3 | 58.33 |
| 12 | mpt-30B Instruct | 57.72 |
| 13 | Llama 2 7B Chat | 56.79 |
| 14 | mpt-30B | 56.48 |
| 15 | vicuna-7B-v1.3 | 55.86 |
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-prehistory · How It Works · Data refreshed daily, snapshot 2026-09-05.