Jais 30B

Core42's bilingual Arabic-English model with 30B parameters setting new benchmarks for Arabic language AI. Trained on 1.6T tokens including 126B Arabic, 251B English, and 50B code tokens. Features 48 transformer blocks, 56 attention heads, embedding dimension 7168. Trained on Condor Galaxy-1 (CG-1) AI supercomputer with 4 exaFLOPS of training compute. Offers 160% longer Arabic answers and 233% longer English answers vs predecessor. Arabic performance now on par with monolingual English models. Outperforms Jais 13B 96% in Arabic and 97% in English. Available on Azure AI and Hugging Face. Represents major advance in Arabic NLP capabilities.