Michaelgathara/GPT

FineWeb-EDU trained Billion+ Parameter Model

22
/ 100
Experimental

This project helps machine learning engineers and researchers build and train their own custom large language models (LLMs) from the ground up. You provide raw text data, and it outputs a fully trained GPT-style model capable of generating coherent text based on new prompts. It's designed for those who want to deeply understand and customize the LLM training process.

No commits in the last 6 months.

Use this if you are a machine learning engineer or researcher who wants to build, train, and customize a GPT-style language model from scratch, using your own datasets and fine-tuning every aspect of the architecture and training process.

Not ideal if you simply want to use an existing pre-trained LLM or fine-tune an existing model for a specific task without needing to understand or implement the underlying architecture and training mechanics.

Large Language Models Generative AI Natural Language Processing Model Training Deep Learning Research
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 15 / 25
Community 0 / 25

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Stars

14

Forks

Language

Python

License

MIT

Last pushed

Jun 03, 2025

Commits (30d)

0

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