MMLU-by-task - Clinical Knowledge: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 1257 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 2 70B Base | 71.7 |
| 2 | Llama 2 70B Chat | 70.57 |
| 3 | Mistral-7B-v0.1 | 69.43 |
| 4 | LLaMA-65B | 66.04 |
| 5 | vicuna-33B-v1.3 | 64.15 |
| 6 | Llama 2 70B Chat (HF) | 63.77 |
| 7 | vicuna-13B-v1.5 | 62.26 |
| 8 | Llama 2 13B Chat Base | 58.49 |
| 9 | LLaMA-30B | 57.74 |
| 10 | trurl-2-7B | 55.85 |
| 11 | MythoMax-L2-13B | 54.72 |
| 12 | vicuna-7B-v1.3 | 53.96 |
| 13 | Llama 2 7B Chat | 53.58 |
| 14 | mpt-30B Instruct | 51.7 |
| 15 | vicuna-13B-v1.3 | 50.57 |
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-clinical-knowledge · How It Works · Data refreshed daily, snapshot 2026-09-05.