CodeLlama13B-Finetune-v1: benchmark results

Provider: Meta. Access: Open.

Aggregate Rating 1264 ± 15, rank #9126 of 10916 rated models, from 68 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
MMLU-by-task - Econometrics35.96Accuracy (%)86.5
MMLU-by-task - College Physics34.31Accuracy (%)86.4
MMLU-by-task - Formal Logic37.3Accuracy (%)79.6
MMLU-by-task - High School Mathematics30.37Accuracy (%)79.4
MMLU-by-task - High School Computer Science58Accuracy (%)78.9
MMLU-by-task - High School Physics33.77Accuracy (%)75
MMLU-by-task - College Chemistry38Accuracy (%)66.4
MMLU-by-task - High School Statistics42.59Accuracy (%)64.7
MMLU-by-task - College Computer Science43Accuracy (%)64.3
MMLU-by-task - Electrical Engineering46.9Accuracy (%)62
MMLU-by-task - College Mathematics33Accuracy (%)61.7
MMLU-by-task - Moral Scenarios27.49Accuracy (%)61.5

Interactive version: theaggregate.ai/model?slug=codellama13b-finetune-v1 · How It Works · Data refreshed daily, snapshot 2026-11-08.