code: def group_quantize_tensor(w, n_bit=4, groupsize=128):
      scales, zeros = get_group_qparams(w, n_bit, groupsize)
      w_int32 = group_quantize_tensor_from_qparams(
          w, scales, zeros, n_bit, groupsize
      )
      scales_and_zeros = pack_scales_and_zeros(scales, zeros)
      return w_int32, scales_and_zeros
  
imports: import time
  from pathlib import Path
  import torch
  import torch.nn
  import torch.nn.functional
  from sentencepiece import SentencePieceProcessor
  from model import Transformer
label_desc: Use image node_id 6 for calling a global function with example usage: group_quantize_tensor(w, n_bit, groupsize) and returns: w_int32,  scales_and_zeros