Ellbendls/Qwen-2.5-3b-Text_to_SQL

Ellbendls/Qwen-2.5-3b-Text_to_SQL is a 3.1 billion parameter model fine-tuned from Qwen/Qwen2.5-3B-Instruct, specifically designed for converting natural language queries into SQL statements. This model excels at Text-to-SQL conversion and can generate table schema context when none is provided, making it robust for analytics and reporting tasks. It is optimized for English language prompts and handles SQL queries involving aggregation, grouping, and filtering.