support-pvelocity/Code-Llama-2-7B-instruct-text2sql
The support-pvelocity/Code-Llama-2-7B-instruct-text2sql model is a 7 billion parameter Code Llama 2 variant, fine-tuned for text-to-SQL tasks. Developed by support-pvelocity, it generates SQL queries from natural language questions given a database schema. This model utilizes an optimized transformer architecture and has a context length of 4096 tokens, making it specialized for converting English text into SQL.
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Model Overview
This model, support-pvelocity/Code-Llama-2-7B-instruct-text2sql, is a specialized 7 billion parameter instruction-tuned variant of the Code Llama 2 architecture. It has been fine-tuned specifically for text-to-SQL tasks, enabling it to generate SQL queries from natural language questions and provided database schemas. The model was trained for approximately 8 hours on a single A100 40GB GPU, leveraging the bugdaryan/sql-create-context-instruction dataset for its fine-tuning.
Key Capabilities
- Text-to-SQL Generation: Converts natural language questions into executable SQL queries, given a database schema.
- Code Completion: Supports general code completion tasks.
- Infilling: Capable of filling in missing code segments.
- Instruction Following: Designed to respond to instructions and engage in chat-like interactions.
Intended Use Cases
This model is primarily intended for commercial and research applications focused on text-to-SQL conversion in English. It is suitable for scenarios where users need to programmatically generate SQL queries from user-friendly natural language inputs. The model's architecture is an optimized transformer, and it operates under a custom commercial license from Code Llama.