open_llama_7b_v2_med_instruct: benchmark results
Provider: OpenLM Research.
Aggregate Rating 1258 ± 15, rank #9181 of 10916 rated models, from 68 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Global Facts | 38 | Accuracy (%) | 81.7 |
| MMLU-by-task - Anatomy | 48.15 | Accuracy (%) | 66.5 |
| MMLU-by-task - Moral Scenarios | 27.04 | Accuracy (%) | 57.5 |
| MMLU-by-task - Elementary Mathematics | 29.89 | Accuracy (%) | 56.4 |
| MMLU-by-task - Computer Security | 60 | Accuracy (%) | 53.4 |
| MMLU-by-task - Machine Learning | 33.04 | Accuracy (%) | 53.4 |
| MMLU-by-task - Clinical Knowledge | 49.06 | Accuracy (%) | 52.8 |
| MMLU-by-task - Astronomy | 44.74 | Accuracy (%) | 52.6 |
| MMLU-by-task - Management | 60.19 | Accuracy (%) | 51.1 |
| MMLU-by-task - High School Physics | 30.46 | Accuracy (%) | 50.8 |
| MMLU-by-task - Electrical Engineering | 42.76 | Accuracy (%) | 49.4 |
| MMLU-by-task - Virology | 40.36 | Accuracy (%) | 48.6 |
Interactive version: theaggregate.ai/model?slug=open-llama-7b-v2-med-instruct · How It Works · Data refreshed daily, snapshot 2026-11-08.