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  • Add detailed SETUP_WINDOWS_WSL2.md with step-by-step instructions
  • Include WSL2 environment setup, CUDA installation, and dependency management
  • Covers troubleshooting common issues and performance optimization
  • Update main README to reference Windows setup guide
  • Tested and verified on Windows 11 with Ubuntu 24.04 WSL2 and RTX 3050 Ti

This enables Windows users to successfully run HRM with CUDA support, resolving compilation issues with FlashAttention and CUDA extensions that occur in native Windows environments.

- Add detailed SETUP_WINDOWS_WSL2.md with step-by-step instructions
- Include WSL2 environment setup, CUDA installation, and dependency management
- Cover troubleshooting common issues and performance optimization
- Update main README to reference Windows setup guide
- Tested and verified on Windows 11 with Ubuntu 22.04 WSL2 and RTX 3050 Ti

This enables Windows users to successfully run HRM with CUDA support,
resolving compilation issues with FlashAttention and CUDA extensions
that occur in native Windows environments.
- Add section for testing setup with pre-trained Sudoku model
- Fix evaluate.py usage examples with proper checkpoint parameter
- Include Hugging Face model download instructions
- Add troubleshooting for evaluation script requirements
- Update success metrics to include evaluation testing
- Provide both training from scratch and pre-trained model workflows

This resolves the evaluate.py failure and provides users with immediate
way to test their WSL2 setup using pre-trained models.
@TKoodi
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TKoodi commented Aug 10, 2025

Look a like this document is ChatGPT generated.
Is is missing details and version numbers to get system up and running.

I try to: CUDA Toolkit 12.9.0 and Pytoch Stable (2.8.0) pip version.
After trying fighting it one day i still cannot install flash-attn.
Näyttökuva 2025-08-10 235834

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2 participants