Skip to main content
🦾 OpenLLM lets developers run any open-source LLMs as OpenAI-compatible API endpoints with a single command.
  • 🔬 Build for fast and production usages
  • 🚂 Support llama3, qwen2, gemma, etc, and many quantized versions full list
  • ⛓️ OpenAI-compatible API
  • 💬 Built-in ChatGPT like UI
  • 🔥 Accelerated LLM decoding with state-of-the-art inference backends
  • 🌥️ Ready for enterprise-grade cloud deployment (Kubernetes, Docker and BentoCloud)

​
Installation

Install openllm through PyPI 
pip install -qU  openllm

​
Launch OpenLLM server locally

To start an LLM server, use openllm hello command: 
openllm hello

​
Wrapper

from langchain_community.llms import OpenLLM

server_url = "http://localhost:3000"  # Replace with remote host if you are running on a remote server
llm = OpenLLM(base_url=server_url, api_key="na")

llm("To build a LLM from scratch, the following are the steps:")
Edit the source of this page on GitHub.
Connect these docs programmatically to Claude, VSCode, and more via MCP for real-time answers.