---
license: apache-2.0
base_model: Qwen/Qwen3.5-0.8B
library_name: transformers
pipeline_tag: text-generation
tags:
  - text-to-sql
  - sql
  - qwen
  - demo
  - vertex-ai
  - synthetic-data
---

# qwen35-08b-text2sql

`Tuana/qwen35-08b-text2sql` is a **demo Text-to-SQL model** fine-tuned from [`Qwen/Qwen3.5-0.8B`](https://huggingface.co/Qwen/Qwen3.5-0.8B).

It was fine-tuned on a small, specific synthetic SQL dataset for demonstration purposes. It is not intended to be a general Text-to-SQL model for arbitrary schemas or production databases.

## Model Details

- **Base model:** `Qwen/Qwen3.5-0.8B`
- **Task demo:** Text-to-SQL style SQL generation
- **Fine-tuning method:** LoRA SFT, merged into a full checkpoint
- **Training platform:** Google Cloud Vertex AI
- **Training container:** Hugging Face PyTorch Training Deep Learning Container
- **Dataset:** `Tuana/synthetic-sql-dataset`
- **Model format:** Merged `transformers` checkpoint

## What This Model Demonstrates

This model demonstrates a small fine-tuning workflow:

1. Generate a synthetic SQL instruction dataset
2. Fine-tune a small Qwen base model on Vertex AI
3. Merge the LoRA adapter into the base checkpoint
4. Serve or compare the result in a small demo app

The demo dataset uses a small synthetic database domain with tables such as:

- `department`
- `management`
- `head`

The model should be viewed as a demo artifact for this specific setup, not as a robust SQL assistant.

## Example Prompt Format

```text
Given this database schema:
CREATE TABLE department (
  department_id VARCHAR,
  name VARCHAR,
  creation VARCHAR
);
CREATE TABLE management (
  department_id VARCHAR,
  head_id VARCHAR,
  temporary_acting VARCHAR
);
CREATE TABLE head (
  head_id VARCHAR,
  name VARCHAR,
  born_state VARCHAR
);

Write a SQL query for:
List all department names.

SQL:
```