llama-mirror-13B-v1.0: benchmark results
Provider: Meta.
Aggregate Rating 1297 ± 18, rank #8784 of 10916 rated models, from 62 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - ARC Challenge | 56.14 | Accuracy (%) | 75.5 |
| MMLU-by-task - Formal Logic | 35.71 | Accuracy (%) | 72.7 |
| MMLU-by-task - Econometrics | 30.7 | Accuracy (%) | 68.2 |
| MMLU-by-task - US Foreign Policy | 77 | Accuracy (%) | 65.8 |
| MMLU-by-task - Professional Medicine | 51.47 | Accuracy (%) | 65.5 |
| MMLU-by-task - Computer Security | 65 | Accuracy (%) | 65 |
| MMLU-by-task - Global Facts | 35 | Accuracy (%) | 64.2 |
| MMLU-by-task - Professional Law | 39.18 | Accuracy (%) | 62.4 |
| MMLU-by-task - Astronomy | 50 | Accuracy (%) | 62.1 |
| MMLU-by-task - College Mathematics | 33 | Accuracy (%) | 61.7 |
| MMLU-by-task - High School Macroeconomics | 46.92 | Accuracy (%) | 60.9 |
| MMLU-by-task - Machine Learning | 34.82 | Accuracy (%) | 60.8 |
Interactive version: theaggregate.ai/model?slug=llama-mirror-13b-v1-0 · How It Works · Data refreshed daily, snapshot 2026-11-08.