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 | falcon-180B | 56.25 |
| 3 | Llama 2 70B Base | 53.57 |
| 4 | LLaMA-65B | 49.11 |
| 5 | Llama 2 70B Chat (HF) | 48.21 |
| 6 | Mistral-7B-v0.1 | 48.21 |
| 7 | Llama 2 70B Chat GPTQ | 47.32 |
| 8 | StableBeluga2 | 46.43 |
| 9 | vicuna-33B-v1.3 | 46.43 |
| 10 | mpt-30B | 45.54 |
| 11 | vicuna-7B-v1.5 | 44.64 |
| 12 | vicuna-13B-v1.5 | 44.64 |
| 13 | ChatGLM2 6B | 43.75 |
| 14 | vicuna-13B-v1.3 | 43.75 |
| 15 | Baichuan-7B | 41.96 |
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-machine-learning · How the rankings work · Data refreshed daily, snapshot 2026-07-22.