moss_llm.py 删除 stopping_criteria

models/moss_llm.py

 from abc import ABC
-import transformers
 from langchain.llms.base import LLM
 from typing import Optional, List
 from models.loader import LoaderCheckPoint
@@ -58,11 +57,6 @@ class MOSSLLM(BaseAnswer, LLM, ABC):
                          history: List[List[str]] = [],
                          streaming: bool = False,
                          generate_with_callback: AnswerResultStream = None) -> None:
-        # Create the StoppingCriteriaList with the stopping strings
-        stopping_criteria_list = transformers.StoppingCriteriaList()
-        # 定义模型stopping_criteria 队列，在每次响应时将 torch.LongTensor, torch.FloatTensor同步到AnswerResult
-        listenerQueue = AnswerResultQueueSentinelTokenListenerQueue()
-        stopping_criteria_list.append(listenerQueue)
         if len(history) > 0:
             history = history[-self.history_len:-1] if self.history_len > 0 else []
             prompt_w_history = str(history)
@@ -91,8 +85,6 @@ class MOSSLLM(BaseAnswer, LLM, ABC):
             answer_result = AnswerResult()
             answer_result.history = history
             answer_result.llm_output = {"answer": response}
-            if listenerQueue.listenerQueue.__len__() > 0:
-                answer_result.listenerToken = listenerQueue.listenerQueue.pop()
 
             generate_with_callback(answer_result)