Hai
Hai
 My attempt to add 16k models with model_token_mapping did not affect the token_max value when calling the map_reduce chain
You were right,I am now fixing the problem temporarily by changing the value of token_max,But token_max need to change the value depending on the model
 I tried to add a new model to openai under langchain framework
 I temporarily solved the problem by directly modifying the value, hoping for a better solution
> @SinaArdehali I have contacted the langchain team, they are working on some of the fixes around this issue. Good news！ thank you
> @Ooho1997 @SinaArdehali My discussion with them is more about the mapreduce implementation itself. If you want to be able to set `token_max` here is how you can do that...
 You can try to add 0613 model in langchain openai.py
Thank you bro. It's very detailed
我测试下来将模型精度提高下从float16改到float32会大幅度降低中英文混杂问题 但是偶尔会有
Thanks for your work. I'd also like to ask - if connections remain unclosed, could this prevent memory from being released? I'm frequently encountering memory issues now where the service...