The tomasonjo/text2cypher-demo-16bit is an 8 billion parameter Llama-3 instruction-tuned model developed by tomasonjo, fine-tuned using Unsloth for accelerated training. This model specializes in converting natural language questions into Cypher queries based on a provided Neo4j graph schema. It is optimized for efficient inference, making it suitable for applications requiring programmatic interaction with graph databases.
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Overview
The tomasonjo/text2cypher-demo-16bit is an 8 billion parameter language model, developed by tomasonjo, specifically fine-tuned for generating Cypher queries from natural language questions. It is based on the unsloth/llama-3-8b-Instruct model and leverages Unsloth and Huggingface's TRL library for efficient training, resulting in a 2x speed improvement during the finetuning process.
Key Capabilities
- Natural Language to Cypher Conversion: Translates user questions into executable Cypher queries, given a Neo4j graph schema.
- Optimized Inference: Utilizes Unsloth's
FastLanguageModel.for_inferencefor enhanced inference speed. - Llama-3 Chat Template: Employs the Llama-3 chat template for structured input and output.
Good For
- Graph Database Interaction: Ideal for applications that require users to query Neo4j graph databases using natural language.
- Developer Tools: Can be integrated into tools that automate Cypher query generation, reducing manual query writing.
- Educational Purposes: Useful for demonstrating how LLMs can interface with structured data query languages like Cypher.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.