Model Card for Llama3.2-3B-SQL-Expert-1Epoch (GGUF)
Model Details
- Model Name: Llama3.2-3B-SQL-Expert-1Epoch (GGUF)
- Developer: Azzedine (GitHub: Azzedde)
- Base Model: Meta-Llama-3.1-3B-Instruct
- Format: GGUF
- License: Apache 2.0
- Language: English
- Purpose: SQL query generation from natural language input
Model Sources
- Repository: Hugging Face
Use Cases
- Generating SQL queries from natural language prompts
- Assisting developers with database management
- Supporting SQL education and analytics automation
Limitations
- May generate suboptimal or incorrect SQL queries
- Does not validate database schema relationships
- Primarily supports English
How to Use
from llama_cpp import Llama
model = Llama("llama3.2-3b-sql-expert-1-epoch.gguf")
prompt = """### Schema:
CREATE TABLE employees (id INT PRIMARY KEY, name VARCHAR, salary DECIMAL, department_id INT);
### Question:
Find the average salary per department.
### SQL Query:
"""
output = model(prompt, max_tokens=64)
print(output)
Training Details
- Data: Public SQL datasets + synthetic SQL queries
- Epochs: 1
- Fine-tuned with: Unsloth
- Hardware: Tesla T4
Citation
@article{llama3.2-3B-SQL-Expert,
author = {Azzedde},
title = {Llama3.2-3B-SQL-Expert: An SQL Query Generation Model (GGUF)},
year = {2025},
url = {https://huggingface.co/Azzedde/llama3.2-3b-sql-expert-1-epoch}
}
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