Nous-Puffin-70B: benchmark results

Nous Research's Puffin instruction fine-tune of Llama 2 70B, using roughly 3,000 curated examples and a 4,096-token context window. PygmalionAI supplied compute; the card credits Nous Research for the fine-tuning. Provider: Nous Research. Access: Open.

Aggregate Rating 1441 ± 17, rank #4178 of 10916 rated models, from 68 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
MMLU-by-task - Anatomy65.93Accuracy (%)99.6
MMLU-by-task - High School Macroeconomics73.33Accuracy (%)99.6
MMLU-by-task - High School Mathematics35.93Accuracy (%)99.6
MMLU-by-task - Nutrition78.1Accuracy (%)99.6
MMLU-by-task - High School Statistics62.96Accuracy (%)99.5
MMLU-by-task - College Computer Science60Accuracy (%)99
MMLU-by-task - Electrical Engineering64.83Accuracy (%)99
MMLU-by-task - Human Sexuality87.02Accuracy (%)99
MMLU-by-task - Sociology89.55Accuracy (%)99
MMLU-by-task - Medical Genetics74Accuracy (%)98.9
MMLU-by-task - US Foreign Policy92Accuracy (%)98.7
MMLU-by-task - College Biology84.03Accuracy (%)98.6

Interactive version: theaggregate.ai/model?slug=nous-puffin-70b · How It Works · Data refreshed daily, snapshot 2026-11-08.