gokul99/Qwen2.5-Coder-7B-Instruct-text-to-sql-finetune

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 20, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The gokul99/Qwen2.5-Coder-7B-Instruct-text-to-sql-finetune is a 7.6 billion parameter instruction-tuned Qwen2.5-Coder model, developed by gokul99, with a context length of 32768 tokens. This model is specifically fine-tuned for text-to-SQL generation tasks. It was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. Its primary strength lies in converting natural language queries into SQL commands.

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Model Overview

The gokul99/Qwen2.5-Coder-7B-Instruct-text-to-sql-finetune is a specialized language model with 7.6 billion parameters and a 32768-token context window. Developed by gokul99, this model is a fine-tuned variant of the Qwen2.5-Coder-7B-Instruct base model, specifically optimized for text-to-SQL conversion tasks.

Key Capabilities

  • Text-to-SQL Generation: Excels at translating natural language questions or commands into executable SQL queries.
  • Instruction Following: Designed to understand and respond to instructions, making it suitable for interactive applications.
  • Efficient Training: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitates faster training processes.

Good For

  • Database Interaction: Ideal for applications requiring natural language interfaces to databases.
  • Automated Query Generation: Useful for automating the creation of SQL queries from user input.
  • Developer Tools: Can be integrated into IDEs or data analysis platforms to assist developers and analysts in writing SQL.

This model is licensed under Apache-2.0, making it suitable for a wide range of commercial and research applications.

Finetunes
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