ReMM-v2-L2-13B: benchmark results

Provider: Undi95. Access: Open.

Aggregate Rating 1348 ± 15, rank #7760 of 10916 rated models, from 68 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
MMLU-by-task - Moral Scenarios44.92Accuracy (%)89.3
MMLU-by-task - US Foreign Policy85Accuracy (%)89.3
MMLU-by-task - High School Mathematics32.22Accuracy (%)89.1
MMLU-by-task - HellaSwag64.81Accuracy (%)88.7
MMLU-by-task - TruthfulQA MC136.6Accuracy (%)88.6
MMLU-by-task - Human Aging68.16Accuracy (%)88.3
MMLU-by-task - Abstract Algebra35Accuracy (%)87.4
MMLU-by-task - ARC Challenge58.79Accuracy (%)85.4
MMLU-by-task - Anatomy51.85Accuracy (%)85.2
MMLU-by-task - Conceptual Physics48.51Accuracy (%)84.4
MMLU-by-task - Jurisprudence73.15Accuracy (%)84
MMLU-by-task - High School Microeconomics58.82Accuracy (%)83.1

Interactive version: theaggregate.ai/model?slug=remm-v2-l2-13b · How It Works · Data refreshed daily, snapshot 2026-11-08.