Llama 2 7B Ft Instruct Es: benchmark results
Provider: Meta. Access: Open.
Aggregate Rating 1284 ± 15, rank #8935 of 10916 rated models, from 68 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - College Mathematics | 38 | Accuracy (%) | 89.5 |
| MMLU-by-task - College Computer Science | 47 | Accuracy (%) | 80.1 |
| MMLU-by-task - Formal Logic | 35.71 | Accuracy (%) | 72.7 |
| MMLU-by-task - Professional Medicine | 51.84 | Accuracy (%) | 67.6 |
| MMLU-by-task - Machine Learning | 35.71 | Accuracy (%) | 64.2 |
| MMLU-by-task - Anatomy | 47.41 | Accuracy (%) | 61.3 |
| MMLU-by-task - Conceptual Physics | 41.7 | Accuracy (%) | 60.3 |
| MMLU-by-task - Abstract Algebra | 31 | Accuracy (%) | 60.2 |
| MMLU-by-task - Moral Scenarios | 27.15 | Accuracy (%) | 58.3 |
| MMLU-by-task - Clinical Knowledge | 51.32 | Accuracy (%) | 57.3 |
| MMLU-by-task - Sociology | 64.68 | Accuracy (%) | 56.9 |
| MMLU-by-task - College Chemistry | 35 | Accuracy (%) | 56.4 |
Interactive version: theaggregate.ai/model?slug=llama-2-7b-ft-instruct-es · How It Works · Data refreshed daily, snapshot 2026-11-08.