We explored emulating textually encoded personality information in a large language model. Given its predominant empirical validation, we chose the five-factor model of personality compiled for a broad range of natural languages. Our study assessed personality traits from a multicultural viewpoint over a diverse set of thirty universal contexts. Thus, contributing to the wider comprehension of generalizing relationships among personality traits across cultures. We administered psychometric tests to the language model, examined links between location and personality, and cross validated measures at various levels of trait hierarchy.