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Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
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Aaron Pham
2025-03-18 05:09:24 +00:00
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README.md
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<div align="center">
<h1>🦾 OpenLLM: Self-Hosting LLMs Made Easy</h1>
</div>
[![License: Apache-2.0](https://img.shields.io/badge/License-Apache%202-green.svg)](https://github.com/bentoml/OpenLLM/blob/main/LICENSE)
[![Releases](https://img.shields.io/pypi/v/openllm.svg?logo=pypi&label=PyPI&logoColor=gold)](https://pypi.org/project/openllm)
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[![X](https://badgen.net/badge/icon/@bentomlai/000000?icon=twitter&label=Follow)](https://twitter.com/bentomlai)
[![Community](https://badgen.net/badge/icon/Community/562f5d?icon=slack&label=Join)](https://l.bentoml.com/join-slack)
</div>
OpenLLM allows developers to run **any open-source LLMs** (Llama 3.3, Qwen2.5, Phi3 and [more](#supported-models)) or **custom models** as **OpenAI-compatible APIs** with a single command. It features a [built-in chat UI](#chat-ui), state-of-the-art inference backends, and a simplified workflow for creating enterprise-grade cloud deployment with Docker, Kubernetes, and [BentoCloud](#deploy-to-bentocloud).
Understand the [design philosophy of OpenLLM](https://www.bentoml.com/blog/from-ollama-to-openllm-running-llms-in-the-cloud).

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README.md.tpl
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<div align="center">
<h1>🦾 OpenLLM: Self-Hosting LLMs Made Easy</h1>
</div>
[![License: Apache-2.0](https://img.shields.io/badge/License-Apache%202-green.svg)](https://github.com/bentoml/OpenLLM/blob/main/LICENSE)
[![Releases](https://img.shields.io/pypi/v/openllm.svg?logo=pypi&label=PyPI&logoColor=gold)](https://pypi.org/project/openllm)
@@ -8,6 +8,8 @@
[![X](https://badgen.net/badge/icon/@bentomlai/000000?icon=twitter&label=Follow)](https://twitter.com/bentomlai)
[![Community](https://badgen.net/badge/icon/Community/562f5d?icon=slack&label=Join)](https://l.bentoml.com/join-slack)
</div>
OpenLLM allows developers to run **any open-source LLMs** (Llama 3.3, Qwen2.5, Phi3 and [more](#supported-models)) or **custom models** as **OpenAI-compatible APIs** with a single command. It features a [built-in chat UI](#chat-ui), state-of-the-art inference backends, and a simplified workflow for creating enterprise-grade cloud deployment with Docker, Kubernetes, and [BentoCloud](#deploy-to-bentocloud).
Understand the [design philosophy of OpenLLM](https://www.bentoml.com/blog/from-ollama-to-openllm-running-llms-in-the-cloud).