NVIDIA RTX 5060 8GB smi 120 problem fixed (is this is helpfull good)

## Problem
If you have an RTX 5060/5070/5080/5090 (Blackwell architecture), the project will fail to run because:

1. The default installation uses torch with CUDA 12.6 which does NOT support sm_120 (Blackwell)
2. When manually installing packages with `pip install --target`, pip uses your system Python (3.11) instead of the project's portable Python (3.10), causing all C-extension libraries (numpy, scipy, pillow, torch) to be compiled for the wrong Python version

## Symptoms
- `ModuleNotFoundError: No module named 'torch'`
- `ImportError: No module named 'numpy.core._multiarray_umath'`
- `ImportError: cannot import name '_imaging' from 'PIL'`
- `ImportError: scipy install seems to be broken`

## Solution
Instead of using plain `pip install`, always use the project's portable Python executable directly. This ensures all packages are installed for the correct Python version (3.10) and in the correct location.

**Step 1 - Install torch with CUDA 12.8 support (required for Blackwell/sm_120):**
```bat
.\system\python\python.exe -m pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128 --upgrade
```

**Step 2 - Reinstall numpy for Python 3.10:**

Download the correct wheel manually from https://pypi.org/project/numpy/1.26.4/#files
Look for: `numpy-1.26.4-cp310-cp310-win_amd64.whl`

Then install it:
```bat
.\system\python\python.exe -m pip install "PATH\TO\numpy-1.26.4-cp310-cp310-win_amd64.whl"
```

**Step 3 - Reinstall pillow and scipy:**
```bat
.\system\python\python.exe -m pip install pillow scipy --upgrade
```

**Step 4 - Install remaining torch dependencies:**
```bat
.\system\python\python.exe -m pip install torchsde torchmetrics torchdiffeq --upgrade
```

**Step 5 - Verify everything works:**
```bat
.\system\python\python.exe -c "import torch; print(torch.__version__); print(torch.cuda.is_available()); print(torch.cuda.get_device_name(0))"
```
Expected output: 2.7.0+cu128
True
NVIDIA GeForce RTX 5060 Then run the project normally:
```bat
.\run.bat
```

## Key rule
**Always use `.\system\python\python.exe -m pip install` instead of plain `pip install`** when working with this project. Using plain pip will install packages for your system Python instead of the project's portable Python 3.10.

## Tested on
- GPU: RTX 5060
- CUDA: 12.8
- Torch: 2.7.0+cu128
- OS: Windows 11

Review the Windows installation documentation and the project's portable Python setup first. Verify the RTX 5060/Blackwell CUDA 12.8 commands and Python 3.10 package guidance against the repository's supported setup. Done means the documented steps are accurate, reproducible, and include the `run.bat` verification.

Written by the indexing model from the issue text.