Hugging Face Overview
XiYanSQL-QwenCoder-7B-2504 Overview
The XiYanSQL-QwenCoder-7B-2504, developed by XGenerationLab, is a 7.6 billion parameter model specifically designed for SQL generation. This version optimizes previous iterations by integrating fine-tuning with GRPO training, a post-training strategy that enhances both efficiency and accuracy in SQL query generation without requiring a thinking process.
Key Capabilities
- Multi-Dialect Support: Supports mainstream SQL dialects including SQLite, PostgreSQL, and MySQL.
- Enhanced Generalization: Demonstrates improved performance on diverse dialects and out-of-domain datasets.
- Robust Evaluation: Evaluated against standard benchmarks like BIRD and Spider, and a real-world DW test set comprising thousands of complex queries from PostgreSQL and MySQL scenarios.
- Performance: Achieves 62.13% on BIRD Dev@M-Schema and 85.97% on Spider Test@M-Schema, outperforming several larger models in specific SQL generation tasks.
When to Use This Model
This model is ideal for applications requiring accurate and efficient text-to-SQL conversion, especially in environments with varied SQL dialects. Its strong performance on real-world and out-of-domain SQL benchmarks makes it suitable for complex database interaction tasks.