MMLU-by-task - Anatomy: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 1257 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 2 70B Base | 62.96 |
| 2 | Mistral-7B-v0.1 | 62.96 |
| 3 | Llama 2 70B Chat | 60 |
| 4 | LLaMA-65B | 57.78 |
| 5 | MythoMax-L2-13B | 52.59 |
| 6 | Llama 2 70B Chat (HF) | 51.85 |
| 7 | LLaMA-30B | 51.11 |
| 8 | trurl-2-7B | 50.37 |
| 9 | vicuna-33B-v1.3 | 50.37 |
| 10 | vicuna-13B | 49.63 |
| 11 | vicuna-13B-v1.3 | 49.63 |
| 12 | mpt-30B | 48.89 |
| 13 | Llama 2 7B Base | 48.15 |
| 14 | vicuna-13B-v1.5 | 48.15 |
| 15 | Llama 2 13B Chat Base | 47.41 |
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-anatomy · How It Works · Data refreshed daily, snapshot 2026-09-05.