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@@ -134,49 +134,17 @@ You are a helpful, concise, and accurate coding assistant specialized in Rust an
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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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- ## Use Cases
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-
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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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-
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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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-
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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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-
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- ## Limitations and Considerations
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-
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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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-
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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/qwen2.5-3B-datafusion-instruct
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  # Run inference
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- ollama run jaro/qwen2.5-3B-datafusion-instruct
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  ```
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  ### Direct GGUF Usage
@@ -195,15 +163,8 @@ ollama run jaro/qwen2.5-3B-datafusion-instruct
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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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-
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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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- ### 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/
@@ -218,7 +179,7 @@ When using this model in research or publications, please cite:
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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/apache/datafusion},
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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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+
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  ```