code: def convert_q4_0_tensor(
      self, tensor: torch.Tensor, size: int, ndims: int, dims: int
  ):
      # see https://github.com/ggerganov/llama.cpp/blob
      # /8e672efe632bb6a7333964a255c4b96f018b9a65/ggml-quants.c#L1074
  
      block_size = self.block_size[2]
      tensor = tensor.reshape((-1, block_size))
      scales, data = tensor[:, :2], tensor[:, 2:]
      scales = scales.view(torch.half)
      data = (
          torch.cat([data & 0xF, data >> 4], dim=-1).view(torch.int8)
          - 8
      )
      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 6 for calling the GGUFTensorLoader obj's underlying member method code with example usage: obj.convert_q4_0_tensor(tensor, size, ndims, dims) and returns: result