Priyanka221105/text2sql-qwen2.5-duckdb
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 1, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
Priyanka221105/text2sql-qwen2.5-duckdb is a 7.6 billion parameter Qwen2.5 model, fine-tuned by Priyanka221105, specifically optimized for text-to-SQL generation using DuckDB. This model leverages the Qwen2.5 architecture and was trained 2x faster using Unsloth and Huggingface's TRL library. It is designed to convert natural language queries into DuckDB-compatible SQL statements, making it suitable for database interaction tasks.
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Model Overview
Priyanka221105/text2sql-qwen2.5-duckdb is a fine-tuned Qwen2.5 model, developed by Priyanka221105, with 7.6 billion parameters and a 32768-token context length. This model specializes in converting natural language text into SQL queries specifically for DuckDB databases.
Key Capabilities
- Text-to-SQL Generation: Translates natural language questions into executable SQL commands for DuckDB.
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training.
- Qwen2.5 Architecture: Built upon the robust Qwen2.5 base model, providing strong language understanding capabilities.
Good For
- Database Interaction: Automating the generation of DuckDB SQL queries from user input.
- Data Analysis: Enabling users to query DuckDB databases using natural language without needing deep SQL knowledge.
- Application Development: Integrating natural language interfaces for DuckDB-backed applications.