Llama 2 13B Ensemble V4: benchmark results

Provider: Meta.

Aggregate Rating 1345 ± 18, rank #7843 of 10916 rated models, from 62 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
MMLU-by-task - Computer Security74Accuracy (%)92
MMLU-by-task - TruthfulQA MC138.07Accuracy (%)92
MMLU-by-task - US Foreign Policy85Accuracy (%)89.3
MMLU-by-task - High School Statistics49.07Accuracy (%)89.2
MMLU-by-task - ARC Challenge60.15Accuracy (%)88.5
MMLU-by-task - Management76.7Accuracy (%)86.8
MMLU-by-task - Business Ethics59Accuracy (%)85.8
MMLU-by-task - High School Microeconomics60.5Accuracy (%)85.8
MMLU-by-task - TruthfulQA MC251.82Accuracy (%)84.6
MMLU-by-task - Conceptual Physics48.51Accuracy (%)84.4
MMLU-by-task - Medical Genetics63Accuracy (%)84.2
MMLU-by-task - Human Aging66.82Accuracy (%)84

Interactive version: theaggregate.ai/model?slug=llama-2-13b-ensemble-v4 · How It Works · Data refreshed daily, snapshot 2026-11-08.