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docs/tutorial/quickstart_arealite.md
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@ -10,7 +10,7 @@ To run the experiment, you will need:
- Training script: [examples/arealite/gsm8k_grpo.py](../../examples/arealite/gsm8k_grpo.py)
- Config YAML: [examples/arealite/configs/gsm8k_grpo.yaml](../../examples/arealite/configs/gsm8k_grpo.yaml)
Our training scripts will automatically download the dataset (openai/gsm8k) and model (Qwen/Qwen3-1.7B).
Our training scripts will automatically download the dataset (openai/gsm8k) and model (Qwen/Qwen2-1.5B-Instruct).
To run the example with default configuration, execute from the repository directory:
```
python3 -m arealite.launcher.local examples/arealite/gsm8k_grpo.py --config examples/arealite/configs/gsm8k_grpo.yaml experiment_name=<your experiment name> trial_name=<your trial name>
@ -91,4 +91,8 @@ Additional references:
## Next Steps
Check [Getting Started with AReaLite](../arealite/gsm8k_grpo.md) for a complete code walkthrough on the GRPO GSM8K Example.
1. Check [Getting Started with AReaLite](../arealite/gsm8k_grpo.md) for a complete code walkthrough on the GRPO GSM8K Example.
2. Customization guides:
- [Custom dataset](../customization/dataset.md)
- [Custom agentic/RVLR rollout workflows](../customization/agent.md)
- [Custom algorithms](../customization/algorithm.md)