Metadata-Version: 2.1
Name: teragpt
Version: 0.0.1
Summary: Paper - Pytorch
Home-page: https://github.com/kyegomez/TeraGPT
License: MIT
Keywords: artificial intelligence,deep learning,optimizers,Prompt Engineering
Author: Kye Gomez
Author-email: kye@apac.ai
Requires-Python: >=3.9,<4.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: einops
Requires-Dist: local-attention
Requires-Dist: torch
Requires-Dist: zetascale
Project-URL: Documentation, https://github.com/kyegomez/TeraGPT
Project-URL: Repository, https://github.com/kyegomez/TeraGPT
Description-Content-Type: text/markdown

[![Multi-Modality](agorabanner.png)](https://discord.gg/qUtxnK2NMf)

# TeraGPT
Train a production grade GPT in less than 400 lines of code. Better than Karpathy's verison and GIGAGPT



## Install
`pip3 install  `



## Usage
```python
import torch
from teragpt.main import TeraGPT

model = TeraGPT(
    dim=4096,
    depth=6,
    heads=8,
    num_tokens=20000,
)

x = torch.randint(0, 20000, (1, 4096))

out = model(x)
print(out.shape)

```


# License
MIT




