code: def convert_q5_0_tensor(
      self, tensor: torch.Tensor, size: int, ndims: int, dims: int
  ):
      # see https://github.com/ggerganov/llama.cpp/blob
      # /b38a16dfcff88d547f78f52d1bea31b84a05aff7/ggml-quants.c#L1115
  
      block_size = self.block_size[6]
      tensor = tensor.reshape((-1, block_size))
      scales, hdata, ldata = (
          tensor[:, :2],
          tensor[:, 2:6],
          tensor[:, 6:],
      )
      scales = scales.view(torch.half)
      # hdata = hdata.view(torch.int)
      hdata = hdata.clone().view(
          torch.int
      )  # clone hdata to fix memory address alignment
      shift = torch.arange(0, 32, 1)
      hdata = (((hdata.expand(-1, 32) >> shift) << 4) & 0x10).byte()
      ldata = torch.cat([ldata & 0xF, ldata >> 4], dim=-1)
      data = (hdata | ldata).view(torch.int8) - 16
      result = (data * scales).reshape(dims)
      return result
  
imports: import struct
  import functools
  import torch
  import numpy
  from io import BufferedReader
  from tqdm import tqdm
  from bigdl.llm.utils.common import invalidInputError
label_desc: Use image node_id 8 for calling the GGUFTensorLoader obj's underlying member method code with example usage: obj.convert_q5_0_tensor(tensor, size, ndims, dims) and returns: result