LIMA2-13B-hf: benchmark results

heegyu's LIMA2 13B, Llama 2 13B fine-tuned for 10 epochs on the 64bits/lima dataset in Vicuna format. Provider: heegyu. Released 2023-08-07. Access: Open.

Aggregate Rating 1323 ± 14, rank #8275 of 10916 rated models, from 77 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
MMLU-by-task - HellaSwag65.25Accuracy (%)89.8
MMLU-by-task - High School Statistics47.22Accuracy (%)83.3
MMLU-by-task - Astronomy57.24Accuracy (%)79.7
MMLU-by-task - Formal Logic37.3Accuracy (%)79.6
MMLU-by-task - High School Physics34.44Accuracy (%)78.7
MMLU-by-task - High School Geography70.71Accuracy (%)77.3
MMLU-by-task - Anatomy49.63Accuracy (%)75.9
MMLU-by-task - Moral Scenarios36.09Accuracy (%)75.6
MMLU-by-task - Public Relations62.73Accuracy (%)74.3
MMLU-by-task - College Chemistry40Accuracy (%)73.8
MMLU-by-task - Econometrics31.58Accuracy (%)73.2
MMLU-by-task - Professional Medicine52.94Accuracy (%)73.2

Interactive version: theaggregate.ai/model?slug=lima2-13b-hf · How It Works · Data refreshed daily, snapshot 2026-11-08.