Llama 2 13B Ft Instruct Es: benchmark results
Provider: Meta. Access: Open.
Aggregate Rating 1334 ± 15, rank #8093 of 10916 rated models, from 68 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - High School Computer Science | 63 | Accuracy (%) | 88.5 |
| MMLU-by-task - College Computer Science | 50 | Accuracy (%) | 88.1 |
| MMLU-by-task - Sociology | 79.1 | Accuracy (%) | 88.1 |
| MMLU-by-task - Computer Security | 71 | Accuracy (%) | 86.2 |
| MMLU-by-task - Medical Genetics | 63 | Accuracy (%) | 84.2 |
| MMLU-by-task - Electrical Engineering | 51.72 | Accuracy (%) | 82 |
| MMLU-by-task - Formal Logic | 38.1 | Accuracy (%) | 82 |
| MMLU-by-task - High School Physics | 35.1 | Accuracy (%) | 82 |
| MMLU-by-task - Elementary Mathematics | 34.13 | Accuracy (%) | 79.7 |
| MMLU-by-task - Management | 73.79 | Accuracy (%) | 79.4 |
| MMLU-by-task - High School Chemistry | 43.35 | Accuracy (%) | 79.1 |
| MMLU-by-task - US Foreign Policy | 82 | Accuracy (%) | 79 |
Interactive version: theaggregate.ai/model?slug=llama-2-13b-ft-instruct-es · How It Works · Data refreshed daily, snapshot 2026-11-08.