微调对话裁剪
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@@ -200,7 +200,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
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if "reduce the length" in error_msg:
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if len(history) >= 2: history[-1] = ""; history[-2] = "" # 清除当前溢出的输入:history[-2] 是本次输入, history[-1] 是本次输出
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history = clip_history(inputs=inputs, history=history, tokenizer=model_info[llm_kwargs['llm_model']]['tokenizer'],
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max_token_limit=(model_info[llm_kwargs['llm_model']]['max_token'])//2) # history至少释放二分之一
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max_token_limit=(model_info[llm_kwargs['llm_model']]['max_token'])) # history至少释放二分之一
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chatbot[-1] = (chatbot[-1][0], "[Local Message] Reduce the length. 本次输入过长, 或历史数据过长. 历史缓存数据已部分释放, 您可以请再次尝试. (若再次失败则更可能是因为输入过长.)")
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# history = [] # 清除历史
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elif "does not exist" in error_msg:
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