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Text To Cypher Gemma 3 27B Instruct 2025.04.0
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Text To Cypher Gemma 3 27B Instruct 2025.04.0

Developed by neo4j
Gemma 3 27B Instruct is a large language model developed by Google, fine-tuned on the neo4j/text2cypher-2025v1 dataset, specializing in converting natural language to Cypher query language.
Large Language Model
Safetensors
 English#Natural language to Cypher query#Graph database interaction#English text processing
Downloads 178
Release Time : 4/3/2025

Model Overview

This model is specifically designed to convert natural language descriptions into Cypher query language for Neo4j graph databases, helping users interact with graph databases more efficiently.

Model Features

Natural language to Cypher conversion
Capable of understanding natural language descriptions and generating corresponding Neo4j graph database query statements
Large model capability
Based on the 27 billion parameter Gemma 3 model, it possesses powerful language understanding and generation capabilities
Domain-specific optimization
Specially optimized and fine-tuned for graph database query scenarios

Model Capabilities

Natural language understanding
Cypher query generation
Text-to-text conversion
Graph database interaction

Use Cases

Database development
Rapid graph query construction
Developers can describe data requirements in natural language to automatically generate Cypher queries
Improves database query development efficiency
Data analysis
Exploratory data analysis
Analysts can ask questions in natural language to automatically generate corresponding graph data analysis queries
Lowers the barrier to data analysis
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