SQLCoder-7B-2
| Property | Value |
|---|---|
| Parameter Count | 6.74B |
| License | CC-BY-SA-4.0 |
| Base Model | CodeLlama-7B |
| Tensor Type | FP16 |
What is SQLCoder-7B-2?
SQLCoder-7B-2 is a specialized language model developed by Defog, Inc. designed specifically for converting natural language queries into SQL code. Built on the foundation of CodeLlama-7B, this model represents a significant advancement in making database interactions more accessible to non-technical users.
Implementation Details
The model utilizes a transformer-based architecture and has been fine-tuned specifically for SQL generation tasks. It features 6.74B parameters and operates with FP16 precision, offering an optimal balance between performance and resource utilization. The model was updated on February 7, 2024, with significant improvements particularly in handling join operations.
- Optimized prompt format for consistent results
- Requires do_sample=False and num_beams=4 for best performance
- Implements read-only database access for security
Core Capabilities
- Natural language to SQL conversion with high accuracy
- Strong performance across various SQL operations (94.3% accuracy on joins)
- Excellent handling of date operations (96% accuracy)
- Robust group-by and order-by clause generation (91.4% and 94.3% accuracy respectively)
- Effective ratio calculations (91.4% accuracy)
Frequently Asked Questions
Q: What makes this model unique?
SQLCoder-7B-2 stands out for its specialized focus on SQL generation and impressive performance metrics across various SQL operations, particularly in handling complex joins and date operations. It outperforms many larger models in specific SQL tasks while maintaining a relatively compact size.
Q: What are the recommended use cases?
The model is specifically designed for analytics teams and non-technical users who need to query databases without extensive SQL knowledge. It's intended for read-only database operations and should not be used for database administration or write operations.
