Arctic-Text2SQL-R1-7B is a 7-billion-parameter Text-to-SQL model fine-tuned using Group Relative Policy Optimization (GRPO) with a simple execution-based reward signal. It converts natural language questions into executable SQL queries.
Lightweight RL formulation: Uses only execution correctness and syntax validity as rewards.
State-of-the-art performance: Achieves 68.9% execution accuracy on BIRD-dev and 68.5% on BIRD-test, with an average of 57.2% across six benchmarks (BIRD, Spider, Spider2.0, Spider-DK, EHRSQL, ScienceBenchmark)
Efficiency: Outperforms many 70B+ models with only 7B parameters.
Intended Use
This model is designed for:
Interactive natural language interfaces to relational databases.
Data analytics tools enabling non-technical users to query databases.
Not intended for:
Generation of non-SQL text or free-form natural language tasks.
Production systems without validation, especially in safety-critical domains.
Benchmark
Dev/Test Accuracy
BIRD-dev
68.9%
BIRD-test
68.5%
Spider-test
88.8%
Spider2.0-DK
15.6%
EHRSQL
36.7%
ScienceBenchmark
51.8%
Average
57.2%
Ethical Considerations
Avoid using for private or sensitive data without proper oversight.
Validate generated SQL to prevent data leakage or unauthorized access.
