SOPHON — Neural Language Model

SOPHON is an experimental transformer-based neural language model developed for autoregressive text modeling research.

This repository contains the core model architecture, training pipeline, configuration system, and utilities required for large-scale language modeling experimentation.

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Overview

SOPHON is designed with a minimal and modular structure:

• Custom transformer architecture
• Config-driven model parameters
• Scalable training pipeline
• JSONL dataset ingestion
• Modular utilities and training scripts

The system is intended for research, experimentation, and architectural development in deep learning.

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Project Structure

data/           → Training datasets (JSONL format)
src/
    ├── model.py      → Core model architecture
    ├── train.py      → Training script
    ├── config.py     → Configuration system
    ├── utils.py      → Utility functions
    └── chat.py       → Inference / interaction script

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Status

This project represents an early-stage experimental model architecture.
Training and scaling improvements are ongoing.

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Usage

Training

Start model training from the project root directory:

python -m src.train

Chat / Inference

Launch interactive chat mode:

python -m src.chat

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Requirements

• Python 3.10+
• PyTorch
• Standard scientific Python stack

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License

This project is licensed under the MIT License — see the LICENSE file for details.

Author

Sambhav Dwivedi
Website: sambhavdwivedi.in

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© 2026 Sambhav Dwivedi