📚 docs: Separate LiteLLM and Ollama Documentation (#1948)

* Separate LiteLLM and Ollama Documentation

* Clarify Ollama Setup

* Fix litellm config

docs/install/configuration/ollama.md

@@ -0,0 +1,29 @@
+---
+title: 🚅 Ollama
+description: Using LibreChat with Ollama 
+weight: -6
+---
+## Ollama
+Use [Ollama](https://ollama.ai/) for
+
+* Running large language models on local hardware
+* Hosting multiple models
+* Dynamically loading the model upon request
+
+### 1. Install Ollama
+#### Mac, Linux, Windows Install
+Ollama supports GPU acceleration on Nvidia, AMD, and Apple Metal. Follow Instructions at [Ollama Download](https://ollama.com/download) 
+
+#### Docker Install
+Reference docker-compose.override.yml.example for configuration of Ollama in a Docker environment.
+
+Run ```docker exec -it ollama /bin/bash``` to access the Ollama command within the container.
+
+### 2. Load Models in Ollama
+1. Browse the available models at [Ollama Library](https://ollama.ai/library)
+2. Copy the text from the Tags tab from the library website and paste it into the terminal. It should begin with 'ollama run'
+3. Check model size. Models that can run in GPU memory perform the best.
+4. Use /bye to exit the terminal
+
+### 3. Configure LibreChat
+Use `librechat.yaml` [Configuration file (guide here)](./ai_endpoints.md) to add Ollama as a separate endpoint.