Axhinxv/text2sql-qwen-3b-lora
The Axhinxv/text2sql-qwen-3b-lora is a 3.1 billion parameter Qwen2 model, developed by Axhinxv, fine-tuned for text-to-SQL tasks. It was trained using Unsloth and Huggingface's TRL library, enabling faster training. This model specializes in converting natural language queries into SQL commands, leveraging its 32768 token context length for complex query understanding.
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Model Overview
The Axhinxv/text2sql-qwen-3b-lora is a specialized Qwen2-based language model with 3.1 billion parameters, developed by Axhinxv. It is specifically fine-tuned for text-to-SQL conversion, meaning it translates natural language questions into executable SQL queries. The model leverages a 32768 token context length, allowing it to process and understand more complex and detailed natural language inputs for SQL generation.
Key Capabilities
- Text-to-SQL Generation: Converts natural language into SQL queries.
- Efficient Training: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitates faster training processes.
- Qwen2 Architecture: Built upon the Qwen2 model family, providing a robust foundation for language understanding and generation.
Good For
- Applications requiring natural language interfaces for database querying.
- Automating SQL query generation from user prompts.
- Developers looking for a specialized, efficiently trained model for text-to-SQL tasks.