llama-7B-SFT_ds_eli5_1024_r_64_alpha_16_merged: benchmark results
Provider: Meta. Access: Open.
Aggregate Rating 1272 ± 15, rank #9039 of 10916 rated models, from 68 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Machine Learning | 42.86 | Accuracy (%) | 85.8 |
| MMLU-by-task - Abstract Algebra | 33 | Accuracy (%) | 75.6 |
| MMLU-by-task - Formal Logic | 34.92 | Accuracy (%) | 69.3 |
| MMLU-by-task - Virology | 42.77 | Accuracy (%) | 60.3 |
| MMLU-by-task - Sociology | 63.68 | Accuracy (%) | 55.2 |
| MMLU-by-task - Philosophy | 54.98 | Accuracy (%) | 53.3 |
| MMLU-by-task - Security Studies | 51.02 | Accuracy (%) | 52 |
| MMLU-by-task - College Computer Science | 39 | Accuracy (%) | 51.6 |
| MMLU-by-task - High School Macroeconomics | 42.82 | Accuracy (%) | 50.1 |
| MMLU-by-task - Business Ethics | 47 | Accuracy (%) | 50 |
| MMLU-by-task - College Medicine | 40.46 | Accuracy (%) | 50 |
| MMLU-by-task - Professional Accounting | 35.46 | Accuracy (%) | 50 |
Interactive version: theaggregate.ai/model?slug=llama-7b-sft-ds-eli5-1024-r-64-alpha-16-merged · How It Works · Data refreshed daily, snapshot 2026-11-08.