sytelus/nanuGPT
Simple, reliable and well tested training code for quick experiments with transformer based models
This tool helps machine learning engineers and researchers quickly experiment with and train transformer-based language models. You provide raw text data or use pre-configured datasets like TinyShakespeare or OpenWebText, and it outputs a trained language model ready for text generation. It's designed for individuals working on developing and optimizing large language models, especially those with limited GPU resources.
Use this if you need a flexible and reproducible framework to rapidly prototype and train custom transformer models, even with a single GPU or CPU.
Not ideal if you are looking for a high-level API for readily deploying existing models or fine-tuning without understanding the training process.
Stars
13
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/sytelus/nanuGPT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
tabularis-ai/be_great
A novel approach for synthesizing tabular data using pretrained large language models
EleutherAI/gpt-neox
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron...
shibing624/textgen
TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet...
ai-forever/ru-gpts
Russian GPT3 models.
AdityaNG/kan-gpt
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold...