Model Description

llama_3.2_1b_SQL is a fine-tuned version of LLaMA 3.2 1B designed to generate SQL queries from natural language input. The model is trained to understand user questions and convert them into syntactically correct and semantically accurate SQL statements.

What It Does

• Converts natural language questions into SQL queries.
• Supports various SQL tasks like SELECT, WHERE, GROUP BY, JOIN, etc.
• Useful for building tools that let users query data without writing SQL.

Dataset Used

• Name: synthetic_text_to_sql-ShareGPT
  
• Source: Hugging Face Dataset
  
• Contains examples of user questions and their corresponding SQL queries.

Libraries Used

• Unsloth: For efficient fine-tuning with LoRA adapters.
• llama-cpp-python: To run the quantized .gguf model locally.

Contact

For questions, feedback, or collaboration, feel free to connect with me:

• Hugging Face: https://huggingface.co/Adhishtanaka
  
• GitHub: https://github.com/Adhishtanaka
  
• LinkedIn: https://linkedin.com/in/adhishtanaka