Platypus2-7B: benchmark results

Cole Hunter and Ariel Lee's Platypus2 7B, a LoRA fine-tune of Llama 2 7B on their STEM and logic focused Open-Platypus dataset. Provider: garage-bAInd. Released 2023-08-22. Access: Open.

Aggregate Rating 1306 ± 14, rank #8631 of 10916 rated models, from 77 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
MMLU-by-task - Professional Law43.16Accuracy (%)81.4
MMLU-by-task - High School World History75.53Accuracy (%)79.3
MMLU-by-task - High School European History69.09Accuracy (%)77.8
MMLU-by-task - High School Chemistry41.87Accuracy (%)74.7
MMLU-by-task - Conceptual Physics44.68Accuracy (%)74.5
MMLU-by-task - Econometrics31.58Accuracy (%)73.2
MMLU-by-task - Moral Scenarios30.73Accuracy (%)68.8
MMLU-by-task - International Law69.42Accuracy (%)67
MMLU-by-task - Prehistory58.95Accuracy (%)66.6
MMLU-by-task - Philosophy60.45Accuracy (%)66.4
MMLU-by-task - Professional Psychology52.29Accuracy (%)66.4
MMLU-by-task - Public Relations60Accuracy (%)65.9

Interactive version: theaggregate.ai/model?slug=platypus2-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.