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--- |
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license: cc-by-sa-4.0 |
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library_name: transformers |
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pipeline_tag: text-generation |
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--- |
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# Update notice |
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The model weights were updated at 7 AM UTC on Feb 7, 2024. The new model weights lead to a much more performant model – particularly for joins. |
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If you downloaded the model before that, please redownload the weights for best performance. |
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# Model Card for SQLCoder-7B-2 |
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A capable large language model for natural language to SQL generation. |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. |
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- **Developed by:** [Defog, Inc](https://defog.ai) |
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- **Model type:** [Text to SQL] |
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- **License:** [CC-by-SA-4.0] |
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- **Finetuned from model:** [CodeLlama-7B] |
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### Model Sources [optional] |
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- [**HuggingFace:**](https://huggingface.co/defog/sqlcoder-70b-alpha) |
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- [**GitHub:**](https://github.com/defog-ai/sqlcoder) |
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- [**Demo:**](https://defog.ai/sqlcoder-demo/) |
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## Uses |
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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. |
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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. |
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## How to Get Started with the Model |
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Use the code [here](https://github.com/defog-ai/sqlcoder/blob/main/inference.py) to get started with the model. |
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## Prompt |
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Please use the following prompt for optimal results: |
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``` |
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### Task |
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Generate a SQL query to answer [QUESTION]{user_question}[/QUESTION] |
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### Database Schema |
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The query will run on a database with the following schema: |
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{table_metadata_string_DDL_statements} |
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### Answer |
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Given the database schema, here is the SQL query that [QUESTION]{user_question}[/QUESTION] |
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[SQL] |
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``` |
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## Evaluation |
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This model was evaluated on [SQL-Eval](https://github.com/defog-ai/sql-eval), a PostgreSQL based evaluation framework developed by Defog for testing and alignment of model capabilities. |
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You can read more about the methodology behind SQLEval [here](https://defog.ai/blog/open-sourcing-sqleval/). |
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### Results |
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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. |
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| | date | group_by | order_by | ratio | join | where | |
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| -------------- | ---- | -------- | -------- | ----- | ---- | ----- | |
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| sqlcoder-70b | 96 | 91.4 | 97.1 | 85.7 | 97.1 | 91.4 | |
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| sqlcoder-7b-2 | 96 | 91.4 | 94.3 | 91.4 | 94.3 | 77.1 | |
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| sqlcoder-34b | 80 | 94.3 | 85.7 | 77.1 | 85.7 | 80 | |
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| gpt-4 | 72 | 94.3 | 97.1 | 80 | 91.4 | 80 | |
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| gpt-4-turbo | 76 | 91.4 | 91.4 | 62.8 | 88.6 | 77.1 | |
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| natural-sql-7b | 56 | 88.6 | 85.7 | 60 | 88.6 | 80 | |
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| sqlcoder-7b | 64 | 82.9 | 74.3 | 54.3 | 74.3 | 74.3 | |
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| gpt-3.5 | 72 | 77.1 | 82.8 | 34.3 | 65.7 | 71.4 | |
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| claude-2 | 52 | 71.4 | 74.3 | 57.1 | 65.7 | 62.9 | |
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## Model Card Contact |
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Contact us on X at [@defogdata](https://twitter.com/defogdata), or on email at [founders@defog.ai](mailto:founders@defog.ai) |
