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Showing content from https://python.langchain.com/docs/integrations/llms/openllm below:

OpenLLM | 🦜️🔗 LangChain

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🦾 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)

Install openllm through PyPI

%pip install --upgrade --quiet  openllm

To start an LLM server, use openllm hello command:

from langchain_community.llms import OpenLLM

server_url = "http://localhost:3000"  
llm = OpenLLM(base_url=server_url, api_key="na")

llm("To build a LLM from scratch, the following are the steps:")

• LLM conceptual guide
• LLM how-to guides

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