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.
