Ollama + sentence-transformers with torch cuda

### What is the issue? Hi, I use ollama together with the `intfloat/multilingual-e5-base` sentence-transformer in langchain and llamaIndex in python. If I use the torch version without CUDA everything works as expected, just my embeddings are created slow. With the torch cuda version installed this way:  As soon as I loaded the sentence-transformer in my python script the weird behaviour starts. The first prompt to a model in ollama is working normal (takes a few seconds). From the second prompt onwards my GPU is on 100% load for a few minutes, than I get the response from the llm. This happens with the llamaindex / langchain API in python and with the cli. If I terminate my python script and restart ollama its working normal again. I use a Laptop with Windows 11 11th Gen Intel(R) Core(TM) i7-11850H @ 2.50GHz 2.50 GHz, 32GB Ram NVIDIA RTX A3000 6GB ### OS Windows ### GPU Nvidia ### CPU Intel ### Ollama version 0.1.37