MMLU-by-task - Nutrition — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 1257 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | falcon-180B | 78.76 |
| 2 | Llama 2 70B Base | 78.1 |
| 3 | StableBeluga2 | 77.12 |
| 4 | Mistral-7B-v0.1 | 75.82 |
| 5 | Llama 2 70B Chat | 74.18 |
| 6 | Llama 2 70B Chat (HF) | 69.93 |
| 7 | Llama 2 70B Chat GPTQ | 68.95 |
| 8 | LLaMA-65B | 68.3 |
| 9 | vicuna-13B-v1.5 | 64.71 |
| 10 | internlm-20B Chat | 64.38 |
| 11 | vicuna-33B-v1.3 | 63.4 |
| 12 | falcon-40B Instruct | 62.75 |
| 13 | OpenHermes-13B | 62.75 |
| 14 | LLaMA-30B | 62.42 |
| 15 | vicuna-13B-v1.3 | 61.44 |
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-nutrition · How the rankings work · Data refreshed daily, snapshot 2026-07-22.