MMLU-by-task - Machine Learning: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 1257 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 2 70B Chat | 59.82 |
| 2 | Llama 2 70B Base | 53.57 |
| 3 | LLaMA-65B | 49.11 |
| 4 | Llama 2 70B Chat (HF) | 48.21 |
| 5 | Mistral-7B-v0.1 | 48.21 |
| 6 | vicuna-33B-v1.3 | 46.43 |
| 7 | mpt-30B | 45.54 |
| 8 | vicuna-13B-v1.5 | 44.64 |
| 9 | ChatGLM2 6B | 43.75 |
| 10 | vicuna-13B-v1.3 | 43.75 |
| 11 | LLaMA-30B | 40.18 |
| 12 | Llama 2 7B Base | 38.39 |
| 13 | Phi-1.5 | 38.39 |
| 14 | gpt-j-6B | 38.39 |
| 15 | MythoMax-L2-13B | 37.5 |
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-machine-learning · How It Works · Data refreshed daily, snapshot 2026-09-05.