minktn/Qwen2.5-3B-Instruct-Text2SQL-Tuned

Qwen2.5-3B-Instruct-Text2SQL-Tuned

This model is a specialized Text-to-SQL adaptation inheriting directly from the base architecture Qwen/Qwen2.5-3B-Instruct. It is fine-tuned to translate complex natural language queries into executable, standardized SQLite syntax given relational schema definitions (DDL).

📌 Heritage & Model Overview

• —Base Architecture: Qwen/Qwen2.5-3B-Instruct
• —Domain Specialization: Text-to-SQL (Spider-style multi-domain benchmarks)
• —Primary Task: Schema-grounded query generation
• —Available Artifacts:
• —final_model/: Full-precision PyTorch / SafeTensors weights & tokenizers (for evaluation & fine-tuning pipelines).
• —qwen2.5-3b-instruct.Q4_K_M.gguf: 4-bit medium quantized artifact optimized for lightweight edge and local CPU inference.