🦀 Rustformer

A minimalist implementation of a transformer model in pure Rust, built from scratch without external dependencies.

🌟 Features

• 🧠 Transformer architecture implementation
• 🔤 Custom tokenizer
• 📊 Matrix operations
• 🔢 Embedding layer
• 🎭 Multi-head attention mechanism
• 🔀 Feed-forward networks
• 📏 Layer normalization
• 🌡️ Temperature-controlled text generation

🚀 Getting Started

1. Clone the repository
2. Place your training text in the project root
3. Run the project:

cargo run --release

🛠️ Implementation Details

Rustformer includes:

• Basic matrix operations
• Tokenization of input text
• Embedding layer
• Positional encoding
• Multi-head attention mechanism
• Feed-forward networks
• Layer normalization
• Training loop
• Text generation with temperature sampling