MMLU-by-task - Jurisprudence: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 1257 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 2 70B Base | 83.33 |
| 2 | Llama 2 70B Chat (HF) | 82.41 |
| 3 | Llama 2 70B Chat | 79.63 |
| 4 | Mistral-7B-v0.1 | 77.78 |
| 5 | LLaMA-65B | 75.93 |
| 6 | vicuna-13B-v1.5 | 74.07 |
| 7 | MythoMax-L2-13B | 72.22 |
| 8 | LLaMA-30B | 71.3 |
| 9 | vicuna-33B-v1.3 | 71.3 |
| 10 | Llama 2 13B Chat Base | 69.44 |
| 11 | vicuna-7B-v1.3 | 66.67 |
| 12 | trurl-2-7B | 64.81 |
| 13 | vicuna-13B-v1.3 | 63.89 |
| 14 | vicuna-13B | 62.04 |
| 15 | Llama 2 7B Chat | 58.33 |
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-jurisprudence · How It Works · Data refreshed daily, snapshot 2026-09-05.