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@@ -77,13 +77,6 @@ MathLlama 3.2 is a fine-tuned version of Meta's Llama-3.2-3B-Instruct model, spe
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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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-
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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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-
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  ## Usage
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  ### Basic Usage
@@ -153,18 +146,4 @@ This model is designed to enhance mathematical education and research. Users sho
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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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-
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- ## Citation
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-
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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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- ```
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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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-
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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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  ---