nabeelshan78/gpt-forge-from-scratch-transformer

A clean, modular implementation of a decoder-only Transformer (mini-GPT) from scratch in PyTorch for autoregressive text generation.

/ 100

Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents

Maintenance 2 / 25

Adoption 2 / 25

Maturity 7 / 25

Community 0 / 25

Stars

Forks

—

Language

Jupyter Notebook

License

—

Category

Last pushed

Aug 30, 2025

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/nabeelshan78/gpt-forge-from-scratch-transformer"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

huggingface/transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in...

kyegomez/LongNet

Implementation of plug in and play Attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens"

pbloem/former

Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)

NVIDIA/FasterTransformer

Transformer related optimization, including BERT, GPT

kyegomez/SimplifiedTransformers

SimplifiedTransformer simplifies transformer block without affecting training. Skip connections,...