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Add tutorial draft: Local LLM Setup with IPEX-LLM on Intel GPU
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docs/tutorial/ipex_llm.md
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sidebar_position: 10
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title: "Local LLM Setup with IPEX-LLM on Intel GPU"
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---
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:::note
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This guide is verified with Open WebUI setup through [Mannual Installation](../getting-started/index.mdx#manual-installation).
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:::
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# Local LLM Setup with IPEX-LLM on Intel GPU
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:::info
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[**IPEX-LLM**](https://github.com/intel-analytics/ipex-llm) is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc A-Series, Flex and Max) with very low latency.
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This tutorial demonstrates how to setup Open WebUI with **IPEX-LLM accelerated Ollama backend hosted on Intel GPU**. By following this guide, you will be able to setup Open WebUI even on a low-cost PC (i.e. only with integrated GPU), and achieve a smooth experience.
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## Start Ollama Serve on Intel GPU
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Refer to [this guide](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/ollama_quickstart.html) from IPEX-LLM official documentation about how to install and run Ollama serve accelerated by IPEX-LLM on Intel GPU.
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:::tip
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If you would like to reach the Ollama serve from another machine, make sure you set or export the environment variable `OLLAMA_HOST=0.0.0.0` before executing the command `ollama serve`.
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