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Author:
Eyad Nada
Summary:
A high-performance PyTorch library for modern autoregressive Transformer modeling, fused hardware kernels, and spectral matrix optimization.
Latest version:
0.1.0
Required dependencies:
datasets
|
gradio
|
matplotlib
|
numpy
|
safetensors
|
tiktoken
|
torch
|
tqdm
|
transformers
Optional dependencies:
black
|
jupyter
|
pytest
|
ruff
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