neo4j/text-to-cypher-Gemma-3-4B-Instruct-2025.04.0

The neo4j/text-to-cypher-Gemma-3-4B-Instruct-2025.04.0 model is a 4.3 billion parameter instruction-tuned language model developed by Neo4j, based on Google's Gemma-3-4B-IT architecture. It is specifically fine-tuned for text-to-Cypher generation, enabling natural language queries to be translated into Cypher graph database queries. With a context length of 32768 tokens, this model excels at converting user prompts into executable Cypher code for Neo4j databases. Its primary strength lies in facilitating intuitive interaction with graph data through natural language.