Part of hacktoberfest_challenge -> [Hugging Face hub-docs] (https://github.com/huggingface/hub-docs/blob/main/hacktoberfest_challenges/model_license_other.md)
# Defog SQLCoder
Defog's SQLCoder is a state of the art LLM for converting natural language questions to SQL queries.
[🤗 HF Repo](https://huggingface.co/defog/sqlcoder) | [♾️ Colab](https://drive.google.com/file/d/13BIKsqHnPOBcQ-ba2p77L5saiepTIwu0/view?usp=sharing) | [🐦 Twitter](https://twitter.com/defogdata)
## TL;DR
SQLCoder is a 15B parameter model that slightly outperforms gpt-3.5-turbo for natural language to SQL generation tasks on our [sql-eval](https://github.com/defog-ai/sql-eval) framework, and significantly outperforms all popular open-source models. It also significantly outperforms `text-davinci-003`, a model that's more than 10 times its size.
SQLCoder is fine-tuned on a base StarCoder model.
## Results
| model | perc_correct |
|-|-|
| gpt-4 | 74.3 |
| defog-sqlcoder | 64.6 |
| gpt-3.5-turbo | 60.6 |
| defog-easysql | 57.1 |
| text-davinci-003 | 54.3 |
| wizardcoder | 52.0 |
| starcoder | 45.1 |
## Training
Defog was trained on…
