Specify oneAPI minor version in documentation (#10561)
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@ -239,7 +239,7 @@ IPEX-LLM GPU support on Linux has been verified on:
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.. code-block:: bash
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sudo apt install -y intel-basekit
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sudo apt install -y intel-basekit=2024.0.1-43
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.. note::
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@ -65,7 +65,7 @@ IPEX-LLM currently supports the Ubuntu 20.04 operating system and later, and sup
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sudo apt update
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sudo apt install intel-basekit
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sudo apt install intel-basekit=2024.0.1-43
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```
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> <img src="https://llm-assets.readthedocs.io/en/latest/_images/oneapi.png" alt="image-20240221102252565" width=100%; />
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@ -39,7 +39,7 @@ Download and install the latest GPU driver from the [official Intel download pag
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pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
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``` -->
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Download and install the [**Intel oneAPI Base Toolkit**](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit-download.html?operatingsystem=window&distributions=offline). During installation, you can continue with the default installation settings.
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Download and install the [**Intel oneAPI Base Toolkit 2024.0**](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit-download.html?operatingsystem=window&distributions=offline). During installation, you can continue with the default installation settings.
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<img src="https://llm-assets.readthedocs.io/en/latest/_images/quickstart_windows_gpu_oneapi_offline_installer.png" width=100%; />
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@ -10,7 +10,7 @@ In this example, we will run Llama2-7b model using Arc A770 and provide `OpenAI-
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### 0. Environment
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To use Intel GPUs for deep-learning tasks, you should install the XPU driver and the oneAPI Base Toolkit. Please check the requirements at [here](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU#requirements).
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To use Intel GPUs for deep-learning tasks, you should install the XPU driver and the oneAPI Base Toolkit 2024.0. Please check the requirements at [here](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU#requirements).
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After install the toolkit, run the following commands in your environment before starting vLLM GPU:
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```bash
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