gregradzio/text-to-cypher-qwen2.5-1.5B
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kTool Calling:SupportedLicense:apache-2.0Architecture:Transformer0.0K Open Weights Warm
gregradzio/text-to-cypher-qwen2.5-1.5B is a 1.5 billion parameter model based on the Qwen2.5 architecture, developed by gregradzio. It is specifically fine-tuned for converting natural language queries into Cypher graph database queries. This model excels at generating accurate Cypher statements from user prompts, particularly when provided with a graph schema. Its primary use case is facilitating natural language interaction with Neo4j-like graph databases.
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Model Overview
The gregradzio/text-to-cypher-qwen2.5-1.5B is a specialized 1.5 billion parameter language model built on the Qwen2.5 architecture. Its core function is to translate natural language questions into executable Cypher queries for graph databases.
Key Capabilities
- Natural Language to Cypher Conversion: Transforms user prompts into valid Cypher query language.
- Schema-Aware Query Generation: Can leverage provided graph schema information (node labels, properties, datatypes) to generate more accurate and contextually relevant Cypher queries.
- Flexible Input Format: Supports both simple natural language queries and a structured query format that includes schema details.
- Output Formatting: Generates Cypher queries, potentially wrapped in markdown code blocks for clarity.
Good For
- Graph Database Interaction: Ideal for applications requiring natural language interfaces to Cypher-based graph databases like Neo4j.
- Developer Tools: Can assist developers in quickly generating complex Cypher queries without deep manual crafting.
- Data Exploration: Enables users to query graph data using plain English, simplifying data access and analysis.