| | --- |
| | license: mit |
| | datasets: |
| | - b-mc2/sql-create-context |
| | language: |
| | - en |
| | - id |
| | base_model: |
| | - meta-llama/Llama-3.2-1B |
| | tags: |
| | - SQL |
| | - Llama |
| | - guff |
| | --- |
| | # Model Card for LLaMA-3-8B SQL Fine-Tuned Model |
| |
|
| | ## Model Overview |
| |
|
| | This model is a fine-tuned version of the `unsloth/llama-3-8b-bnb-4bit` model, specifically adapted for SQL-related tasks using the `b-mc2/sql-create-context` dataset. It leverages the **PEFT (Parameter-Efficient Fine-Tuning)** library for efficient training and is optimized for **graph-ml** tasks. |
| |
|
| | --- |
| |
|
| | ## Model Details |
| |
|
| | - **Base Model:** `unsloth/llama-3-8b-bnb-4bit` |
| | - **Fine-Tuning Dataset:** `b-mc2/sql-create-context` |
| | - **Model Type:** Fine-tuned language model for SQL generation and understanding. |
| | - **Framework:** PEFT (Parameter-Efficient Fine-Tuning) |
| | - **License:** [More Information Needed] |
| | - **Developed by:** [More Information Needed] |
| |
|
| | --- |
| |
|
| | ## Intended Use |
| |
|
| | ### Direct Use |
| | This model is designed for generating SQL queries from natural language prompts or contextual descriptions. It can be used directly for: |
| | - SQL query generation |
| | - Database interaction automation |
| | - Educational tools for learning SQL |
| |
|
| | ### Downstream Use |
| | The model can be fine-tuned further for specific database schemas or integrated into larger applications such as: |
| | - Database management systems |
| | - Business intelligence tools |
| | - Data analytics platforms |
| |
|
| | ### Out-of-Scope Use |
| | This model is not intended for: |
| | - Non-SQL-related tasks |
| | - Generating malicious or harmful SQL queries |
| | - Use cases requiring high precision without human validation |
| |
|
| | --- |
| |
|
| | ## Bias, Risks, and Limitations |
| | - **Bias:** The model may inherit biases present in the training data, such as favoring certain SQL dialects or structures. |
| | - **Risks:** Incorrect SQL generation could lead to data corruption or security vulnerabilities if used without validation. |
| | - **Limitations:** Performance may vary across different database schemas or complex queries. |
| |
|
| | **Recommendations:** Always validate generated SQL queries before execution, especially in production environments. |
