Fix illegal memory access & Upgrade dependencies to CUDA 12.4

[gustawdaniel]

This PR resolves critical runtime errors during inference and upgrades the project dependencies to support modern CUDA environments.

Key Changes

• Fix Illegal Memory Access: Disabled torch.compile for block mask creation in
  bytelatent/model/blt.py. This serves as a workaround for the CUDA error: an illegal memory access was encountered and device-side assert triggered errors observed in the flex attention mechanism.
• Dependency Upgrade: Updated pyproject.toml and lock file to use PyTorch 2.5.1+ and xformers with CUDA 12.4 support. This addresses build failures experienced by users with newer CUDA toolkits.
• Documentation: Added instructions for Hugging Face CLI login to the README, ensuring users can easily access the gated models required for the demo.

Issues Resolved

• Closes demo.py RuntimeError: CUDA error: an illegal memory access was encountered #136 (Fixes demo.py RuntimeError)
• Closes cuda 13 support #138 (Resolves CUDA version mismatch during build)

Verification

• Verified that demo.py now runs successfully without CUDA errors.
• Confirmed that dependency installation completes successfully with the updated lock file.

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