gpt-sw3-126m: benchmark results

AI Sweden's gpt-sw3-126m, a decoder-only causal language model developed with RISE and WASP WARA for Media and Language using NeMo Megatron GPT. Its card describes Nordic-language, English and programming-code pretraining. Provider: AI Sweden. Access: Open.

Aggregate Rating 1196 ± 38, rank #9641 of 10916 rated models, from 91 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
EuroEval Icelandic NLU - ScaLA IS1.69Matthews correlation coefficient (%)41.8
EuroEval Icelandic Common Sense Reasoning1.46Common Sense Reasoning Average Score (%)28
EuroEval Faroese NLU - FoSent5.21Matthews correlation coefficient (%)25.6
EuroEval Spanish NLU - ScaLA ES0.41Matthews correlation coefficient (%)23.4
EuroEval Danish Knowledge - Danske Talemaader2.48MCC (x100)18.2
EuroEval Norwegian Common Sense Reasoning1.33Common Sense Reasoning Average Score (%)17.6
EuroEval Danish Common Sense Reasoning1.56Common Sense Reasoning Average Score (%)16.6
EuroEval Dutch NLU - ScaLA NL1.74Matthews correlation coefficient (%)16
EuroEval Faroese NLU - ScaLA FO0Matthews correlation coefficient (%)15.9
EuroEval Norwegian Knowledge - Idioms NO-0.16MCC (x100)15.8
EuroEval Danish NLU - ScaLA DA0.26Matthews correlation coefficient (%)15.1
EuroEval English Knowledge3.88Knowledge Average Score (%)14.2

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