Metin/Gemma-2-2B-TR-Knowledge-Graph

Metin/Gemma-2-2B-TR-Knowledge-Graph is a 2.6 billion parameter language model, fine-tuned from Google's Gemma-2-2B-IT by Metin. This model specializes in generating structured knowledge graphs from document content, enabling the creation and population of graph databases. It was trained on a synthetically generated dataset of 30K knowledge graph samples, making it optimized for extracting entities and relationships.