đ SQLCoder-7B-2
A capable large language model for natural language to SQL generation.
đ Quick Start
The model weights were updated at 7 AM UTC on Feb 7, 2024. The new model weights lead to a much more performant model â particularly for joins.
If you downloaded the model before that, please redownload the weights for best performance.
Use the code here to get started with the model.
⨠Features
This model is intended to be used by non-technical users to understand data inside their SQL databases. It is meant as an analytics tool, and not as a database admin tool.
đĻ Installation
No installation steps provided in the original document, so this section is skipped.
đģ Usage Examples
Basic Usage
Please use the following prompt for optimal results. Please remember to use do_sample=False and num_beams=4 for optimal results.
### Task
Generate a SQL query to answer [QUESTION]{user_question}[/QUESTION]
### Database Schema
The query will run on a database with the following schema:
{table_metadata_string_DDL_statements}
### Answer
Given the database schema, here is the SQL query that [QUESTION]{user_question}[/QUESTION]
[SQL]
đ Documentation
Model Details
This is the model card of a đ¤ transformers model that has been pushed on the Hub. This model card has been automatically generated.
| Property |
Details |
| Developed by |
Defog, Inc |
| Model Type |
[Text to SQL] |
| License |
[CC-by-SA-4.0] |
| Finetuned from model |
[CodeLlama-7B] |
Model Sources
Uses
This model has not been trained to reject malicious requests from users with write access to databases, and should only be used by users with read-only access.
Prompt
For optimal results, use the prompt provided in the Usage Examples section.
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.
Results
We classified each generated question into one of 6 categories. The table displays the percentage of questions answered correctly by each model, broken down by category.
|
date |
group_by |
order_by |
ratio |
join |
where |
| sqlcoder-70b |
96 |
91.4 |
97.1 |
85.7 |
97.1 |
91.4 |
| sqlcoder-7b-2 |
96 |
91.4 |
94.3 |
91.4 |
94.3 |
77.1 |
| sqlcoder-34b |
80 |
94.3 |
85.7 |
77.1 |
85.7 |
80 |
| gpt-4 |
72 |
94.3 |
97.1 |
80 |
91.4 |
80 |
| gpt-4-turbo |
76 |
91.4 |
91.4 |
62.8 |
88.6 |
77.1 |
| natural-sql-7b |
56 |
88.6 |
85.7 |
60 |
88.6 |
80 |
| sqlcoder-7b |
64 |
82.9 |
74.3 |
54.3 |
74.3 |
74.3 |
| gpt-3.5 |
72 |
77.1 |
82.8 |
34.3 |
65.7 |
71.4 |
| claude-2 |
52 |
71.4 |
74.3 |
57.1 |
65.7 |
62.9 |
đ License
This model is licensed under CC-by-SA-4.0.
đ Model Card Contact
Contact us on X at @defogdata, or on email at founders@defog.ai
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Transformers