| --- |
| 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 |
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| ## Model Overview |
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| 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. |
|
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| --- |
|
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| ## Model Details |
|
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| - **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] |
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| --- |
|
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| ## Intended Use |
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| ### 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 |
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| --- |
|
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| ## 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. |
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| **Recommendations:** Always validate generated SQL queries before execution, especially in production environments. |
