Model card
SQLCoder is a specialized large language model engineered specifically for text-to-SQL tasks. Unlike general-purpose LLMs that often struggle with complex schema mapping or hallucinate non-existent table relationships, SQLCoder is fine-tuned to translate natural language queries into accurate, executable SQL code. For developers building data analytics interfaces or automated reporting tools, this model provides a high-degree of precision in structured query generation. It is designed for local inference via Ollama, making it an ideal choice for privacy-conscious environments where sending sensitive database schemas to external APIs is a security risk. While it lacks the broad conversational versatility of models like Llama 3, its performance on complex JOIN operations and dialect-specific syntax makes it a superior tool for database-centric workflows. Integration is straightforward for anyone already using the Ollama ecosystem, allowing for rapid prototyping of natural language interfaces over existing relational databases.
Model files and versions
Download this model
How to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
Discussions
Use this space to keep checking source information, usage experience and maintenance status.
Open source page