Llama 2 7B GPTQ: benchmark results
Provider: Meta. Released 2023-07-18.
Aggregate Rating 1267 ± 18, rank #9093 of 10916 rated models, from 62 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Econometrics | 32.46 | Accuracy (%) | 77.1 |
| MMLU-by-task - Abstract Algebra | 33 | Accuracy (%) | 75.6 |
| MMLU-by-task - High School Mathematics | 29.26 | Accuracy (%) | 70.6 |
| MMLU-by-task - College Mathematics | 34 | Accuracy (%) | 69.2 |
| MMLU-by-task - Formal Logic | 34.13 | Accuracy (%) | 66.2 |
| MMLU-by-task - Global Facts | 35 | Accuracy (%) | 64.2 |
| MMLU-by-task - Machine Learning | 35.71 | Accuracy (%) | 64.2 |
| MMLU-by-task - Electrical Engineering | 46.21 | Accuracy (%) | 58.8 |
| MMLU-by-task - Medical Genetics | 54 | Accuracy (%) | 58.3 |
| MMLU-by-task - Virology | 42.17 | Accuracy (%) | 56.8 |
| MMLU-by-task - Conceptual Physics | 40.85 | Accuracy (%) | 56.3 |
| MMLU-by-task - Philosophy | 56.59 | Accuracy (%) | 56.3 |
Interactive version: theaggregate.ai/model?slug=llama-2-7b-gptq · How It Works · Data refreshed daily, snapshot 2026-11-08.