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

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

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