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docs/readthedocs/source/doc/LLM/Quickstart/ollama_quickstart.md
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# Run Ollama on Intel GPU | ||
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### 1 Install Ollama integrated with IPEX-LLM | ||
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First ensure that IPEX-LLM is installed. Follow the instructions on the [IPEX-LLM Installation Quickstart for Windows with Intel GPU](install_windows_gpu.html). And activate your conda environment. | ||
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Run `pip install --pre --upgrade ipex-llm[cpp]`, then execute `init-ollama`, you can see a softlink of `ollama`under your current directory. | ||
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### 2 Verify Ollama Serve | ||
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To avoid potential proxy issues, run `export no_proxy=localhost,127.0.0.1`. Execute `export ZES_ENABLE_SYSMAN=1` and `source /opt/intel/oneapi/setvars.sh` to enable driver initialization and dependencies for system management. | ||
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Start the service using `./ollama serve`. It should display something like: | ||
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![image-20240403164414684](C:\Users\yibopeng\AppData\Roaming\Typora\typora-user-images\image-20240403164414684.png) | ||
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To expose the `ollama` service port and access it from another machine, use `OLLAMA_HOST=0.0.0.0 ./ollama serve`. | ||
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Open another terminal, use `./ollama pull <model_name>` to download a model locally. | ||
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![image-20240403165342436](C:\Users\yibopeng\AppData\Roaming\Typora\typora-user-images\image-20240403165342436.png) | ||
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Verify the setup with the following command: | ||
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```shell | ||
curl http://localhost:11434/api/generate -d ' | ||
{ | ||
"model": "<model_name>", | ||
"prompt": "Why is the sky blue?", | ||
"stream": false | ||
}' | ||
``` | ||
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Expected results: | ||
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![image-20240403170520057](C:\Users\yibopeng\AppData\Roaming\Typora\typora-user-images\image-20240403170520057.png) | ||
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### 3 Example: Ollama Run | ||
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You can use `./ollama run <model_name>` to automatically pull and load the model for a stream chat. | ||
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![image-20240403165927706](C:\Users\yibopeng\AppData\Roaming\Typora\typora-user-images\image-20240403165927706.png) | ||
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![image-20240403170234524](C:\Users\yibopeng\AppData\Roaming\Typora\typora-user-images\image-20240403170234524.png) |