README.md

---
base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
tags:
  - text-to-sql
  - qlora
  - fine-tuned
---

# NL2SQL — Qwen2.5-Coder-1.5B fine-tuned for text-to-SQL

QLoRA fine-tuned version of Qwen2.5-Coder-1.5B-Instruct, trained on a custom
e-commerce schema to translate natural language questions into SQL queries.

- **Base model**: Qwen/Qwen2.5-Coder-1.5B-Instruct
- **Method**: QLoRA (4-bit), LoRA r=8, alpha=16
- **Training data**: ~270 examples (40 hand-written + 230 Groq-generated,
  manually reviewed), grounded in a 6-table e-commerce schema
- **Eval**: execution accuracy against a live SQLite DB (see repo README)

## Usage

Prompt format:
\`\`\`
You are a SQL expert. Given a database schema and a question, write the SQL query that answers it.

### Schema:
{schema}

### Question:
{question}

### SQL:
\`\`\`

Full training code, dataset generation, and evaluation script: [github link]