neo4j/text-to-cypher-Gemma-3-27B-Instruct-2025.04.0

The neo4j/text-to-cypher-Gemma-3-27B-Instruct-2025.04.0 model is a 27 billion parameter instruction-tuned language model developed by Neo4j, based on Google's Gemma-3 architecture. It is specifically fine-tuned for text-to-Cypher generation, enabling natural language queries to be translated into Cypher database commands. With a context length of 32768 tokens, this model excels at converting English text into accurate Cypher queries for Neo4j graph databases.