Lunar-4B: benchmark results

Provider: Sakalti. Access: Open.

Aggregate Rating 1441 ± 35, rank #4163 of 10916 rated models, from 50 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Open Japanese LLM - Xlsum JA Bert Score JA F170.55Score (%)87.4
Open Japanese LLM - Xlsum JA Rouge129.88Score (%)80.5
Open Japanese LLM - Xlsum JA RougeLsum25.28Score (%)79.6
Open Japanese LLM - SUM10.56Score (%)70.8
Open Japanese LLM - Xlsum JA Rouge210.56Score (%)70.7
Open Japanese LLM - Wiki NER SET F17.08Score (%)62.7
Open Japanese LLM - CG29.72Score (%)61.1
Open Japanese LLM - Mbpp Pylint Check48.8Score (%)57.5
Open Japanese LLM - Jsts Pearson86.69Score (%)39.2
Open Japanese LLM - Jsts Spearman83.8Score (%)39.2
Open Japanese LLM - MMLU EN Exact Match64.95Score (%)38.9
Open Japanese LLM - Xlsum JA Bleu JA2.38Score (%)38.6

Interactive version: theaggregate.ai/model?slug=lunar-4b · How It Works · Data refreshed daily, snapshot 2026-11-08.