metadata
base_model:
- griffith-bigdata/Qwen-2.5-Coder-3B-SQL-Writer
FINER-SQL-3B-BIRD
Trained from griffith-bigdata/Qwen-2.5-Coder-3B-SQL-Writer using GRPO with two dense rewards from the FINER-SQL paper:
🧠 Memory Reward — aligns reasoning with verified traces
⚙️ Atomic Reward — measures operation-level SQL overlap
✅ 67.5% EX on BIRD when training only on BIRD train dataset; infer on a single 12-24 GB GPU
📄 See other models: https://huggingface.co/collections/griffith-bigdata/finer-sql
📄 Github: https://github.com/thanhdath/finer-sql/tree/main
Citation
@inproceedings{finersql,
author = {Thanh Dat Hoang and Thanh Trung Huynh and Matthias Weidlich and Thanh Tam Nguyen and Tong Chen and Hongzhi Yin and Quoc Viet Hung Nguyen},
title = {Boosting Small Language Models for Text-to-SQL with Fine-Grained Execution Feedback and Cost-Efficient Rewards},
booktitle = {ICDE},
publisher = {IEEE},
year = {2026},
}