---
language: en
tags:
- reasoning
- chain-of-thought
- logical-reasoning
- mathematical-reasoning
- pytorch
- advanced-architect
license: mit
---

# Advanced Reasoning Transformer

This is an advanced reasoning model trained with the Advanced Architect framework. The model is capable of performing complex reasoning tasks including:

## Model Details

- **Model Type**: Advanced Reasoning Transformer
- **Architecture**: Multi-layer transformer with specialized reasoning layers
- **Reasoning Capabilities**:
  - Chain-of-thought processing
  - Logical reasoning (AND, OR, NOT operations)
  - Mathematical reasoning
  - Multi-step problem solving

## Usage

```python
from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("ZomBitX64/advanced-reasoning-model")
tokenizer = AutoTokenizer.from_pretrained("ZomBitX64/advanced-reasoning-model")

# Example usage for reasoning tasks
input_text = "If A then B. A is true. Therefore"
# Tokenize and generate reasoning steps
```

## Training Data

The model was trained on a diverse set of reasoning examples including:
- Logical syllogisms
- Mathematical reasoning problems
- Chain-of-thought examples

## Performance

- **Parameters**: ~4.5M
- **Reasoning Steps**: 3-step chain-of-thought processing
- **Supported Tasks**: Classification, language modeling, reasoning

## Limitations

This is a research model and may not be suitable for production use without further fine-tuning.

## Citation

```bibtex
@misc{advanced-architect-reasoning,
  title={Advanced Architect Reasoning Model},
  author={Advanced Architect Team},
  year={2024}
}
```