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Modify the distributed backend to support Windows and add a PowerShell script for training. * **Distributed Backend**: - Modify `initialize_global_process_group` in `verl/utils/distributed.py` to detect Windows and use the Gloo backend instead of NCCL. * **Training Script**: - Create `scripts/train_tiny_zero.ps1` to set environment variables and call the Python training module, parameterized to accept paths and GPU counts. * **Configuration**: - Update `verl/trainer/config/ppo_trainer.yaml` to set `tensor_model_parallel_size` to read from an environment variable if available. - Introduce a `data_parallel_size` setting. * **Model Loading**: - Wrap vLLM imports in `verl/models/transformers/llama.py` in try/except and fall back to a simpler model loading if vLLM isn’t available. - Log a warning if vLLM is not found. * **Attention Mechanism**: - Add checks for FlashAttention availability in `verl/models/transformers/monkey_patch.py` and use alternate code paths if not available. * **Documentation**: - Add a Windows Setup section in `README.md` explaining how to install and run. - Include an example for 8 GPUs. - Document the new PowerShell script.
--- For more details, open the [Copilot Workspace session](https://copilot-workspace.githubnext.com/breakcraft/TinyZero?shareId=XXXX-XXXX-XXXX-XXXX).
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