* Add grad checkpointing and PE in the transformer example * Remove other frameworks from LM example * Remove the other frameworks from MNIST example * Improve the transformer LM example * Fix black and change LR |
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| .. | ||
| datasets.py | ||
| main.py | ||
| README.md | ||
| requirements.txt | ||
Transformer LM
This is an example of a decoder-only Transformer LM. The only dependency is MLX.
Run the example on the GPU with:
python main.py --gpu
By default the dataset is the PTB corpus. Choose a different dataset with the --dataset option.