shivakrishnaah/text2sql-codellama-13b-merged
TEXT GENERATIONConcurrency Cost:1Model Size:13BQuant:FP8Ctx Length:4kPublished:Feb 18, 2026License:llama2Architecture:Transformer Open Weights Cold
The shivakrishnaah/text2sql-codellama-13b-merged model is a 13 billion parameter language model based on the CodeLlama architecture, fine-tuned specifically for Text-to-SQL tasks. With a context length of 4096 tokens, this model is designed to translate natural language queries into SQL commands. Its primary strength lies in accurately generating SQL from user prompts, making it suitable for database interaction applications.
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Model Overview
The shivakrishnaah/text2sql-codellama-13b-merged is a 13 billion parameter model built upon the CodeLlama architecture, specifically optimized for Text-to-SQL conversion. This model's core function is to accurately translate natural language questions or commands into executable SQL queries.
Key Capabilities
- Text-to-SQL Generation: Excels at converting diverse natural language inputs into corresponding SQL statements.
- CodeLlama Foundation: Leverages the robust code understanding and generation capabilities of the CodeLlama base model.
- Parameter Efficiency: At 13 billion parameters, it offers a balance between performance and computational resource requirements for specialized SQL generation tasks.
Good For
- Database Interaction: Ideal for applications requiring users to query databases using natural language without needing SQL expertise.
- Automated SQL Generation: Useful in scenarios where SQL queries need to be dynamically created from user input or system prompts.
- Developer Tools: Can be integrated into IDEs or data analysis platforms to assist developers and analysts in writing SQL more efficiently.