ProvidersMoreGPT4AllOn this pageGPT4AllThis page covers how to use the GPT4All wrapper within LangChain. The tutorial is divided into two parts: installation and setup, followed by usage with an example.Installation and Setup​Install the Python package with pip install pyllamacppDownload a GPT4All model and place it in your desired directoryUsage​GPT4All​To use the GPT4All wrapper, you need to provide the path to the pre-trained model file and the model's configuration.from langchain.llms import GPT4All# Instantiate the model. Callbacks support token-wise streamingmodel = GPT4All(model="./models/gpt4all-model.bin", n_ctx=512, n_threads=8)# Generate textresponse = model("Once upon a time, ")You can also customize the generation parameters, such as n_predict, temp, top_p, top_k, and others.To stream the model's predictions, add in a CallbackManager.from langchain.llms import GPT4Allfrom langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler# There are many CallbackHandlers supported, such as# from langchain.callbacks.streamlit import StreamlitCallbackHandlercallbacks = [StreamingStdOutCallbackHandler()]model = GPT4All(model="./models/gpt4all-model.bin", n_ctx=512, n_threads=8)# Generate text. Tokens are streamed through the callback manager.model("Once upon a time, ", callbacks=callbacks)Model File​You can find links to model file downloads in the pyllamacpp repository.For a more detailed walkthrough of this, see this notebookPreviousGooseAINextGraphsignalInstallation and SetupUsageGPT4AllModel File