OpenAssistant-SFT-7-Llama-30B-HF: benchmark results

TheBloke's Hugging Face publication of OpenAssistant's LLaMA 30B SFT 7, whose original release is OpenAssistant/oasst-sft-7-llama-30b-xor. Conversion publication is credited separately from the original model creator. The card specifies reconstruction from OpenAssistant XOR weights and original Llama weights. Provider: TheBloke. Access: Open.

Aggregate Rating 1360 ± 15, rank #7454 of 10916 rated models, from 68 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
MMLU-by-task - Global Facts42Accuracy (%)91.7
MMLU-by-task - Professional Medicine60.66Accuracy (%)91.1
MMLU-by-task - International Law79.34Accuracy (%)90.2
MMLU-by-task - High School Statistics49.54Accuracy (%)90.1
MMLU-by-task - High School Biology71.61Accuracy (%)89.6
MMLU-by-task - Marketing85.9Accuracy (%)89.5
MMLU-by-task - Conceptual Physics51.49Accuracy (%)89
MMLU-by-task - College Physics35.29Accuracy (%)88.7
MMLU-by-task - High School Microeconomics63.03Accuracy (%)88.7
MMLU-by-task - Econometrics36.84Accuracy (%)88.3
MMLU-by-task - High School Psychology79.08Accuracy (%)88.2
MMLU-by-task - Professional Psychology61.6Accuracy (%)88

Interactive version: theaggregate.ai/model?slug=openassistant-sft-7-llama-30b-hf · How It Works · Data refreshed daily, snapshot 2026-11-08.