Overview:

Serge - LLaMA made easy is a chat interface created with llama.cpp for running GGUF models. It is a self-hosted chat interface that does not require API keys. It uses a SvelteKit frontend and utilizes Redis for storing chat history and parameters. The API is built using FastAPI and LangChain, wrapping calls to llama.cpp using the python bindings.

Features:

• Self-hosted chat interface
• No API keys required
• SvelteKit frontend
• Redis for storing chat history and parameters
• FastAPI and LangChain for the API

Installation:

To install Serge, you can use various methods depending on your setup:

• Docker: Use Docker or Docker Compose and visit http://localhost:8008 for the chat interface and API documentation.
• Windows: Ensure Docker Desktop is installed, WSL2 is configured, and enough free RAM is available to run models.
• Kubernetes: Follow the instructions in the wiki for setting up Serge on Kubernetes.

Summary:

Serge is a self-hosted chat interface that allows users to run GGUF models. It does not require API keys and utilizes a SvelteKit frontend. The chat history and parameters are stored in Redis, and the API is built using FastAPI and LangChain. Serge provides different installation methods such as Docker and Kubernetes. It is free and open-source software licensed under the MIT License and Apache-2.0.