llama7b_alpaca_1gpu_bf16: benchmark results
Provider: Meta.
Aggregate Rating 1219 ± 15, rank #9484 of 10916 rated models, from 68 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - College Chemistry | 37 | Accuracy (%) | 62.4 |
| MMLU-by-task - HellaSwag | 59.32 | Accuracy (%) | 53.9 |
| MMLU-by-task - College Physics | 25.49 | Accuracy (%) | 53.2 |
| MMLU-by-task - ARC Challenge | 49.4 | Accuracy (%) | 48.4 |
| MMLU-by-task - Econometrics | 28.07 | Accuracy (%) | 47.3 |
| MMLU-by-task - Elementary Mathematics | 27.78 | Accuracy (%) | 45.3 |
| MMLU-by-task - College Medicine | 35.26 | Accuracy (%) | 41.5 |
| MMLU-by-task - High School European History | 47.27 | Accuracy (%) | 41.5 |
| MMLU-by-task - Professional Medicine | 44.12 | Accuracy (%) | 41 |
| MMLU-by-task - International Law | 55.37 | Accuracy (%) | 40.9 |
| MMLU-by-task - Medical Genetics | 44 | Accuracy (%) | 40.9 |
| MMLU-by-task - Logical Fallacies | 41.1 | Accuracy (%) | 40.7 |
Interactive version: theaggregate.ai/model?slug=llama7b-alpaca-1gpu-bf16 · How It Works · Data refreshed daily, snapshot 2026-11-08.