code: def convert_non_q4(src_name, dst_name, model, fout):
      v = model[src_name]
      shape = v.shape
      print(
          "Processing non-Q4 variable: " + src_name + " with shape: ",
          shape,
          " and type: ",
          v.dtype,
      )
      if len(shape) == 1:
          print("  Converting to float32")
          v = v.to(torch.float32)
  
      ftype_cur = {torch.float16: 1, torch.float32: 0}[v.dtype]
  
      # header
      write_header(fout, shape, dst_name, ftype_cur)
  
      # data
      v.numpy().tofile(fout)
  
file_path: BigDL/python/llm/src/bigdl/llm/gptq/convert/convert_gptq_to_ggml.py
imports: import os
  import re
  import sys
  import json
  import warnings
  import struct
  import numpy
  import torch
  from sentencepiece import SentencePieceProcessor
  from pathlib import Path
  from bigdl.llm.utils.common.log4Error import invalidInputError
label_desc: Use image node_id 2 for calling a global function with example usage: convert_non_q4(src_name, dst_name, model, fout) without return types