Snowflake/Arctic-Text2SQL-R1-7B

Overview

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.

Read more in our paper: Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQL.

Key Features

• 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.