BeastxD/text2cypher_lora_v7
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 19, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The BeastxD/text2cypher_lora_v7 is a 4 billion parameter Qwen3 instruction-tuned model developed by BeastxD, specifically fine-tuned for text-to-Cypher query generation. This model leverages LoRA (Low-Rank Adaptation) and was trained using Unsloth and Huggingface's TRL library, enabling faster training times. It is optimized for converting natural language into Cypher queries, making it suitable for graph database interactions.
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Model Overview
BeastxD/text2cypher_lora_v7 is a specialized 4 billion parameter language model, fine-tuned from the Qwen3 architecture. Developed by BeastxD, its primary function is to translate natural language text into Cypher queries, which are used for interacting with graph databases like Neo4j.
Key Capabilities
- Text-to-Cypher Generation: Excels at converting user prompts or natural language questions into structured Cypher query language.
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- LoRA Adaptation: Utilizes Low-Rank Adaptation (LoRA) for efficient fine-tuning, allowing for effective specialization without retraining the entire base model.
Good For
- Graph Database Interaction: Ideal for applications requiring natural language interfaces to query graph databases.
- Developer Tools: Can be integrated into tools that automate Cypher query generation from user input.
- Knowledge Graph Exploration: Useful for simplifying the process of extracting information from knowledge graphs by translating natural language requests into executable queries.