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---
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language: en
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tags:
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- reasoning
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- chain-of-thought
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- logical-reasoning
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- mathematical-reasoning
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- pytorch
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- advanced-architect
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license: mit
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---
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# Advanced Reasoning Transformer
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This is an advanced reasoning model trained with the Advanced Architect framework. The model is capable of performing complex reasoning tasks including:
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## Model Details
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- **Model Type**: Advanced Reasoning Transformer
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- **Architecture**: Multi-layer transformer with specialized reasoning layers
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- **Reasoning Capabilities**:
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- Chain-of-thought processing
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- Logical reasoning (AND, OR, NOT operations)
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- Mathematical reasoning
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- Multi-step problem solving
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## Usage
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```python
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from transformers import AutoModel, AutoTokenizer
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model = AutoModel.from_pretrained("ZomBitX64/advanced-reasoning-model")
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tokenizer = AutoTokenizer.from_pretrained("ZomBitX64/advanced-reasoning-model")
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# Example usage for reasoning tasks
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input_text = "If A then B. A is true. Therefore"
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# Tokenize and generate reasoning steps
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```
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## Training Data
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The model was trained on a diverse set of reasoning examples including:
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- Logical syllogisms
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- Mathematical reasoning problems
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- Chain-of-thought examples
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## Performance
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- **Parameters**: ~4.5M
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- **Reasoning Steps**: 3-step chain-of-thought processing
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- **Supported Tasks**: Classification, language modeling, reasoning
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## Limitations
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This is a research model and may not be suitable for production use without further fine-tuning.
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## Citation
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```bibtex
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@misc{advanced-architect-reasoning,
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title={Advanced Architect Reasoning Model},
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author={Advanced Architect Team},
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year={2024}
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}
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```
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