I am running a RAG pipeline, with LlamaIndex and quantized LLama3-8B-Instruct. I just installed these libraries: !pip install --upgrade huggingface_hub !pip install --upgrade peft !pip install llama-index bitsandbytes accelerate llama-index-llms-huggingface llama-index-embeddings-huggingface !pip install --upgrade transformers !pip install --upgrade sentence-transformers Then I was looking to run the quantization pipeline like this: import torch from llama_index.llms.huggingface import HuggingFaceLLM from transformers import BitsAndBytesConfig quantization_config = BitsAndBytesConfig( load_in_4bit=True, bnb_4bit_compute_dtype=torch.float16, bnb_4bit_quant_type="nf4", bnb_4bit_use_double_quant=True, ) However, I got this error returned to me: ModuleNotFoundError: No module named 'huggingface_hub.inference._types'. Last time I worked with this pipeline two months ago, the code worked, so I think LlamaIndex has changed something; especially since when I clicked on the error, it referenced to: from huggingface_hub.inference._types import ConversationalOutput, but ConversationalOutput module doesn't exist in HuggingFace docs. So, what should I do to fix this error and be able to run this RAG pipeline? Continue reading...