### Initializing Python Environment with uv

Source: https://github.com/policy-gradient/grpo-zero/blob/main/README.md

This command sequence initializes the Python environment for the project. It first installs 'uv', a fast Python package installer and resolver, and then synchronizes the project's dependencies to ensure all required packages are available.

```bash
pip install uv
uv sync
```

--------------------------------

### Installing Git LFS

Source: https://github.com/policy-gradient/grpo-zero/blob/main/README.md

This set of commands installs Git Large File Storage (LFS), which is necessary for handling large files like models and datasets in Git repositories. It updates the package list, installs git-lfs, and then initializes it for the current user.

```bash
apt update; apt install git-lfs -y; git lfs install
```

--------------------------------

### Starting GRPO Model Training

Source: https://github.com/policy-gradient/grpo-zero/blob/main/README.md

This command initiates the GRPO model training process using the 'train.py' script. It leverages 'uv run' to execute the script within the project's isolated environment, applying the default training configurations.

```bash
uv run train.py
```

--------------------------------

### Training GRPO Model with 24GB VRAM Configuration

Source: https://github.com/policy-gradient/grpo-zero/blob/main/README.md

This command starts the GRPO model training specifically configured for GPUs with 24GB VRAM, such as an RTX 4090. It loads 'config_24GB.yaml', which likely includes optimizations like offloading the optimizer to CPU to reduce GPU memory consumption during training.

```bash
uv run train.py --config config_24GB.yaml
```

--------------------------------

### Downloading Qwen2.5-3B-Instruct Model

Source: https://github.com/policy-gradient/grpo-zero/blob/main/README.md

This command downloads the 'Qwen2.5-3B-Instruct' pretrained language model from Hugging Face. This model serves as the base for fine-tuning with the GRPO algorithm on the CountDown task.

```bash
git clone https://huggingface.co/Qwen/Qwen2.5-3B-Instruct
```

--------------------------------

### Downloading Countdown Task Dataset

Source: https://github.com/policy-gradient/grpo-zero/blob/main/README.md

This command clones the 'Countdown-Tasks-3to4' dataset from Hugging Face, which is used for training the model on the CountDown task. The dataset contains problems where the model must generate a mathematical expression to reach a target number.

```bash
git clone https://huggingface.co/datasets/Jiayi-Pan/Countdown-Tasks-3to4
```

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