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README.md
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- **Response Time:** Fast generation with proper stop sequences
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- **Memory Usage:** Efficient token management
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### Development
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- **Code Generation:** Generate Rust functions and DataFusion queries
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- **Debugging:** Identify and fix common issues
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- **Documentation:** Create clear technical explanations
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- **Testing:** Generate test cases and validation code
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### Learning
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- **Tutorial Creation:** Step-by-step learning materials
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- **Best Practices:** Learn recommended approaches
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- **Pattern Recognition:** Understand common design patterns
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- **API Exploration:** Discover available functionality
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### Production Support
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- **Query Optimization:** Improve SQL performance
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- **Troubleshooting:** Resolve runtime issues
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- **Integration:** Connect different data sources
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- **Monitoring:** Set up observability and tracing
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## Limitations and Considerations
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### Technical Limitations
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- **Context Window:** Limited to training data scope
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- **Real-time Updates:** May not reflect latest API changes
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- **Complex Queries:** Very complex scenarios may require human review
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- **Edge Cases:** Unusual configurations may need manual intervention
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### Best Practices
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- **Verify Output:** Always review generated code before deployment
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- **Test Thoroughly:** Validate generated queries and functions
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- **Stay Updated:** Check for newer model versions
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- **Human Oversight:** Use as assistant, not replacement for expertise
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## Installation and Setup
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### Ollama (Recommended)
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```bash
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# Pull the model
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ollama pull jaro/
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# Run inference
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ollama run jaro/
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```
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### Direct GGUF Usage
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| **Deployment** | Development/Production | Production/Resource-constrained |
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| **Use Case** | Maximum quality | Balanced performance |
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## Community and Support
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### Contributing
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- Report issues with model behavior
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- Suggest improvements to training data
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- Share use cases and success stories
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- Contribute to the DataFusion ecosystem
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- **DataFusion Documentation:** https://docs.datafusion.org/
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- **Apache Arrow:** https://arrow.apache.org/
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- **Rust Programming Language:** https://www.rust-lang.org/
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title={Qwen2.5-3B-DataFusion-Instruct: A Specialized Model for DataFusion Ecosystem},
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author={Fine-tuned on DataFusion Ecosystem QA Dataset},
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year={2025},
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url={https://github.com/
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license={Apache-2.0}
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}
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```
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- **Response Time:** Fast generation with proper stop sequences
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- **Memory Usage:** Efficient token management
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## Installation and Setup
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### Ollama (Recommended)
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```bash
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# Pull the model
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ollama pull jaro/qwen_datafusion
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# Run inference
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ollama run jaro/qwen_datafusion
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```
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### Direct GGUF Usage
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| **Deployment** | Development/Production | Production/Resource-constrained |
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| **Use Case** | Maximum quality | Balanced performance |
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## Resources
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- **DataFusion Documentation:** https://docs.datafusion.org/
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- **Apache Arrow:** https://arrow.apache.org/
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- **Rust Programming Language:** https://www.rust-lang.org/
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title={Qwen2.5-3B-DataFusion-Instruct: A Specialized Model for DataFusion Ecosystem},
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author={Fine-tuned on DataFusion Ecosystem QA Dataset},
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year={2025},
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url={https://github.com/yarenty/trainer},
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license={Apache-2.0}
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}
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```
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