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README.md
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- **Context Length**: 128k tokens
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- **Architecture**: Transformer-based with optimized attention mechanisms
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## Performance Benchmarks
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| Task | Metric | Base Model | MathLlama 3.2 | Improvement |
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|------|--------|------------|---------------|-------------|
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| Abstract Algebra (MMLU) | Accuracy | 45.2% | 55.2% | **+10.0%** |
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| Mathematical Reasoning | Problem Solving | Baseline | Enhanced | Significant |
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## Usage
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### Basic Usage
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- Verify critical mathematical results independently
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- Use the model as a tool to augment, not replace, human mathematical reasoning
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- Be aware of potential biases in synthetic training data
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## Citation
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If you use MathLlama 3.2 in your research or applications, please cite:
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```
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@misc{mathllama2024,
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title={MathLlama 3.2: Enhanced Mathematical Reasoning with Synthetic CoT Data},
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author={Your Name},
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year={2024},
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note={Fine-tuned Llama-3.2 model for advanced mathematical reasoning}
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}
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```
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- **Context Length**: 128k tokens
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- **Architecture**: Transformer-based with optimized attention mechanisms
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## Usage
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### Basic Usage
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- Verify critical mathematical results independently
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- Use the model as a tool to augment, not replace, human mathematical reasoning
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- Be aware of potential biases in synthetic training data
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