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  # Fine-tuning LLaMA 3.2 1B for SQL Generation
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  This project is about fine-tuning a small LLaMA model (1B) to generate SQL queries from natural language. I'm using a dataset that contains examples of how people ask questions and how those get translated into SQL.
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  - `Evaluate_LLM.ipynb`: The evaluation pipeline for the fine-tuned model.
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  - `Llama3.2_1B-SQL.ipynb`: The main notebook for fine-tuning and experimentation.
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- 👉 Browse these files in the [GitHub repository](https://github.com/Adhishtanaka/llama3.2_1.b-SQL) for full code and documentation.
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-
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- ---
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- license: mit
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- ---
 
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+ ---
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+ license: mit
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+ datasets:
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+ - mlabonne/synthetic_text_to_sql-ShareGPT
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+ language:
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+ - en
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+ base_model:
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+ - unsloth/Llama-3.2-1B
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+ tags:
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+ - sql-generation
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+ - llama
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+ - unsloth
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+ - text-to-sql
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+ - lora
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+ ---
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  # Fine-tuning LLaMA 3.2 1B for SQL Generation
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  This project is about fine-tuning a small LLaMA model (1B) to generate SQL queries from natural language. I'm using a dataset that contains examples of how people ask questions and how those get translated into SQL.
 
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  - `Evaluate_LLM.ipynb`: The evaluation pipeline for the fine-tuned model.
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  - `Llama3.2_1B-SQL.ipynb`: The main notebook for fine-tuning and experimentation.
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+ 👉 Browse these files in the [GitHub repository](https://github.com/Adhishtanaka/llama3.2_1.b-SQL) for full code and documentation.