| license: cc-by-sa-4.0 | |
| tags: | |
| - code | |
| - autoquant | |
| - awq | |
| metrics: | |
| - accuracy | |
| pipeline_tag: text-generation | |
| A capable language model for text to SQL generation for Postgres, Redshift and Snowflake that is on-par with the most capable generalist frontier models. | |
|  | |
| ## Model Description | |
| Developed by: Defog, Inc | |
| Model type: [Text to SQL] | |
| License: [CC-by-SA-4.0] | |
| Finetuned from model: [Meta-Llama-3-8B-Instruct] | |
| ## Demo Page | |
| [https://defog.ai/sqlcoder-demo/](https://defog.ai/sqlcoder-demo/) | |
| ## Ideal prompt and inference parameters | |
| Set temperature to 0, and do not do sampling. | |
| ### Prompt | |
| ``` | |
| <|begin_of_text|><|start_header_id|>user<|end_header_id|> | |
| Generate a SQL query to answer this question: `{user_question}` | |
| {instructions} | |
| DDL statements: | |
| {create_table_statements}<|eot_id|><|start_header_id|>assistant<|end_header_id|> | |
| The following SQL query best answers the question `{user_question}`: | |
| ```sql | |
| ``` | |
| ## Evaluation | |
| This model was evaluated on SQL-Eval, a PostgreSQL based evaluation framework developed by Defog for testing and alignment of model capabilities. | |
| You can read more about the methodology behind SQLEval [here](https://defog.ai/blog/open-sourcing-sqleval/). | |
| ## Contact | |
| Contact us on X at [@defogdata](https://twitter.com/defogdata), or on email at [email protected] |