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check in tokenizer.model for ease of dev setup (#59) #542

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check in tokenizer.model for ease of dev setup (#59) #542

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1 change: 0 additions & 1 deletion .gitignore
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Expand Up @@ -9,5 +9,4 @@ outputs
data
out
wandb
*.model
*.json
8 changes: 3 additions & 5 deletions README.md
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Expand Up @@ -6,17 +6,15 @@ torchtrain contains PyTorch native parallelisms, tools and utilities to train la

# Installation

install PyTorch from source or install the latest pytorch nightly, then install requirements by
Install PyTorch from source or install the latest pytorch nightly, then install requirements by

```python
pip install -r requirements.txt
```

download tokenizer from HF
This part is needed first time if there's no tokenizer locally by run:

Install additional dev requirements if you want to contribute to the repo:
```
python torchtrain/datasets/download_tokenizer.py --hf_token your_token
pip install -r dev-requirements.txt
```

run the llama debug model locally to verify the setup is correct:
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