PyTorch no longer supports this GPU because it is too old.

have installed CUDA ToolKit 8.0
pip install torch==1.0.1 -f
Installed version 1.0.1 for CUDA 8.0 WINDOWS.

An error appears

Found GPU0 GeForce GT 630M which is of cuda capability 2.1.
    PyTorch no longer supports this GPU because it is too old.

  warnings.warn(old_gpu_warn % (d, name, major, capability[1]))
Found 1 GPUs available. Using GPU 0 (GeForce GT 630M) of compute capability 2.1 with 2.1Gb total memory.

Preparing the encoder, the synthesizer and the vocoder...
Traceback (most recent call last):
  File "", line 61, in <module>
  File "C:\Users\kisel\Desktop\Real-Time-Voice-Cloning-master\encoder\", line 32, in load_model
    _model = SpeakerEncoder(_device, torch.device("cpu"))
  File "C:\Users\kisel\Desktop\Real-Time-Voice-Cloning-master\encoder\", line 21, in __init__
  File "C:\Users\kisel\anaconda3\envs\TestVoice\lib\site-packages\torch\nn\modules\", line 381, in to
    return self._apply(convert)
  File "C:\Users\kisel\anaconda3\envs\TestVoice\lib\site-packages\torch\nn\modules\", line 117, in _apply
  File "C:\Users\kisel\anaconda3\envs\TestVoice\lib\site-packages\torch\nn\modules\", line 113, in flatten_parameters
    self.batch_first, bool(self.bidirectional))

I really need support for 2.1 compute capability and version >= 1.0.1, please help!

Consider using a cloud computing service (e.g. Google Colab, Google Cloud or AWS). Colab is free (with some limitations), so you may want to check if that meets your needs first.