MMLU-by-task - Philosophy: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 1257 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 2 70B Base | 78.78 |
| 2 | Llama 2 70B Chat | 75.88 |
| 3 | LLaMA-65B | 72.67 |
| 4 | Llama 2 70B Chat (HF) | 70.42 |
| 5 | Mistral-7B-v0.1 | 69.77 |
| 6 | vicuna-33B-v1.3 | 68.17 |
| 7 | LLaMA-30B | 66.56 |
| 8 | MythoMax-L2-13B | 64.31 |
| 9 | vicuna-13B-v1.5 | 63.99 |
| 10 | Llama 2 7B Base | 60.13 |
| 11 | Llama 2 13B Chat Base | 58.84 |
| 12 | trurl-2-7B | 58.52 |
| 13 | vicuna-13B-v1.3 | 58.2 |
| 14 | Llama 2 7B Chat | 56.59 |
| 15 | mpt-30B Instruct | 56.59 |
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-philosophy · How It Works · Data refreshed daily, snapshot 2026-09-05.