# Train

## Environment

```bash
cd scripts
python -m venv venv
source venv/bin/activate
pip install -U -r requirements.in
```

## Tokenizer

```bash
python -B train_tokenizer.py
```

## Dataset

```bash
python -B prepare_pretrain_dataset.py
python -B prepare_contrain_dataset.py
```

## Model

### Pretraining

```bash
litgpt pretrain --config ./pretrain-model.yaml
litgpt convert_from_litgpt out/pretrain/final/ out/converted_pretrain
cp config.json out/pretrain/final/
cp config.json out/converted_pretrain/
```

```python
import torch
from safetensors.torch import save_file

state_dict = torch.load('out/converted_pretrain/model.pth', map_location='cpu')
save_file(state_dict, 'out/converted_pretrain/model.safetensors')
```

### Continued Pretraining

```bash
litgpt convert_pretrained_checkpoint out/pretrain/final/ out/pretrain_checkpoint/final/
cp config.json out/pretrain_checkpoint/final/

litgpt pretrain --config ./contrain-model.yaml
litgpt convert_from_litgpt out/contrain/final/ out/converted_contrain
cp config.json out/converted_contrain/
```

```python
import torch
from safetensors.torch import save_file

state_dict = torch.load('out/converted_contrain/model.pth', map_location='cpu')
save_file(state_dict, 'out/converted_contrain/model.safetensors')
```

```bash
cp out/converted_contrain/model.pth ./
cp out/converted_contrain/model.safetensors ./
```