API HTTP code: 500, "error":"failed to generate embedding with langchain

### What is the issue? after version 0.1.32 of Ollama,there always have a bug with the api of embedding the embedding model I used is "smartcreation/bge-large-zh-v1.5",and dztech/bge-large-zh:v1.5 pulled from ollama ` from langchain_community.embeddings import OllamaEmbeddings from langchain_community.document_loaders import ( CSVLoader, UnstructuredWordDocumentLoader, ) from langchain_community.vectorstores import Qdrant from qdrant_client import QdrantClient base_url="http://127.0.0.1:11434") embeddings = OllamaEmbeddings(model="dztech/bge-large-zh:v1.5",base_url=base_url) LOADER_MAPPING = { ".csv": (CSVLoader, {}), # ".docx": (Docx2txtLoader, {}), ".doc": (UnstructuredWordDocumentLoader, {"mode": "elements"}), ".docx": (UnstructuredWordDocumentLoader, {}),} def split(uploaded_file_name): # Create embeddings print("Creating new vectorstore") texts = process_documents(uploaded_file_name) print(f"Creating embeddings. May take some minutes...") db = Qdrant.from_documents(texts, embedding=embeddings,url='localhost:7541', collection_name=uploaded_file_name) print(uploaded_file_name) query = "insert" docs = db.similarity_search(query) print(docs[0].page_content) ` File "/Users/mac/anaconda3/envs/ag2/lib/python3.11/site-packages/langchain_community/vectorstores/qdrant.py", line 2037, in _embed_texts embeddings = self.embeddings.embed_documents(list(texts)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/mac/anaconda3/envs/ag2/lib/python3.11/site-packages/langchain_community/embeddings/ollama.py", line 204, in embed_documents embeddings = self._embed(instruction_pairs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/mac/anaconda3/envs/ag2/lib/python3.11/site-packages/langchain_community/embeddings/ollama.py", line 192, in _embed return [self._process_emb_response(prompt) for prompt in iter_] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^…