Rohit-Katkar2003/llama3_2_1b_text_to_sql_16bit
TEXT GENERATIONConcurrency Cost:1Model Size:1BQuant:BF16Ctx Length:32kPublished:Apr 7, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The Rohit-Katkar2003/llama3_2_1b_text_to_sql_16bit is a 1 billion parameter Llama 3.2-based model, fine-tuned for text-to-SQL tasks. Developed by Rohit-Katkar2003, this model leverages Unsloth for accelerated training, making it efficient for specialized natural language to database query generation. Its primary strength lies in converting natural language instructions into SQL queries, offering a focused solution for data interaction.
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Model Overview
This model, developed by Rohit-Katkar2003, is a 1 billion parameter Llama 3.2-based language model specifically fine-tuned for text-to-SQL conversion. It was trained using Unsloth and Huggingface's TRL library, which enabled a 2x faster fine-tuning process compared to standard methods.
Key Capabilities
- Text-to-SQL Generation: Excels at translating natural language queries into executable SQL statements.
- Efficient Training: Benefits from Unsloth's optimization, allowing for rapid fine-tuning.
- Llama 3.2 Architecture: Built upon the Llama 3.2 base model, providing a robust foundation for language understanding.
Good For
- Database Interaction: Ideal for applications requiring natural language interfaces to SQL databases.
- Rapid Prototyping: The efficient training methodology makes it suitable for quick deployment and iteration in text-to-SQL tasks.
- Specialized NLP Tasks: A strong candidate for use cases where converting human language into structured database queries is a core requirement.