metadata
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
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}
}