MMLU-by-task - Nutrition: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 1257 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 2 70B Base | 78.1 |
| 2 | Mistral-7B-v0.1 | 75.82 |
| 3 | Llama 2 70B Chat | 74.18 |
| 4 | Llama 2 70B Chat (HF) | 69.93 |
| 5 | LLaMA-65B | 68.3 |
| 6 | vicuna-13B-v1.5 | 64.71 |
| 7 | vicuna-33B-v1.3 | 63.4 |
| 8 | LLaMA-30B | 62.42 |
| 9 | vicuna-13B-v1.3 | 61.44 |
| 10 | Llama 2 13B Chat Base | 59.48 |
| 11 | MythoMax-L2-13B | 59.15 |
| 12 | vicuna-13B | 55.88 |
| 13 | ChatGLM2 6B | 53.27 |
| 14 | vicuna-7B-v1.3 | 53.27 |
| 15 | trurl-2-7B | 52.61 |
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-nutrition · How It Works · Data refreshed daily, snapshot 2026-09-05.