lorenzomaiuri-dev/quantum-gpt

A hybrid Quantum-Classical Transformer implementation based on nanoGPT, using PyTorch and PennyLane to replace attention heads with Variational Quantum Circuits (VQC).

20
/ 100
Experimental
No Package No Dependents
Maintenance 10 / 25
Adoption 1 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

1

Forks

—

Language

Python

License

MIT

Category

gpt2-pretraining-fine-tuning

Last pushed

Jan 06, 2026

Commits (30d)

0

GitHub
GPT2 Pretraining Fine-tuning · 128 models

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/lorenzomaiuri-dev/quantum-gpt"

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

67

EleutherAI/gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron...

58

shibing624/textgen

TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet...

53

AdityaNG/kan-gpt

The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold...

48

EleutherAI/gpt-neo

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

47

Explore Transformer Models

All categories Trending Transformer directory Insights