class_docstr: Path to the pre-trained GPT4All model file.
class_docstr_tok: ["Path","to","the","pre-trained","GPT4All","model","file","."]
code: def remove_stop_text(self, text, stop=None):
      # remove stop sequences from the end of the generated text
      if stop is None:
          return text
      for stop_seq in stop:
          if stop_seq in text:
              text = text[: text.index(stop_seq)]
      return text
  
imports: import inspect
  import os
  from typing import Dict, Any, Optional, List, Iterator
  from langchain.callbacks.manager import CallbackManagerForLLMRun
  from langchain.schema.output import GenerationChunk
  from langchain.llms import gpt4all
  from pydantic.v1 import root_validator
  from utils import FakeTokenizer, url_alive, download_simple, clear_torch_cache, n_gpus_global
  from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
  from langchain.llms import LlamaCpp
label_desc: Use image node_id 3 for calling the H2OLlamaCpp obj's underlying member method code with example usage: obj.remove_stop_text(text, stop) and returns: text, text