Remove oneAPI pip install command in related examples (#11030)

* Remove pip install command in windows installation guide

* fix chatglm3 installation guide

* Fix gemma cpu example

* Apply on other examples

* fix

python/llm/example/CPU/HF-Transformers-AutoModels/Model/gemma/README.md

@@ -1,122 +1,60 @@
 # Gemma
-In this directory, you will find examples on how you could apply IPEX-LLM INT4 optimizations on Google Gemma models on [Intel GPUs](../../../README.md). For illustration purposes, we utilize the [google/gemma-7b-it ](https://huggingface.co/google/gemma-7b-it) and [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) as reference Gemma models.
 
-## Requirements
+In this directory, you will find examples on how you could apply IPEX-LLM INT4 optimizations on Gemma models. For illustration purposes, we utilize the [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) and [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) as a reference Gemma model.
-To run these examples with IPEX-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to [here](../../../README.md#requirements) for more information.
 
-**Important: According to Gemma's requirement, please make sure you have installed `transformers==4.38.1` to run the example.**
+## 0. Requirements
+To run these examples with IPEX-LLM, we have some recommended requirements for your machine, please refer to [here](../README.md#recommended-requirements) for more information.
 
 ## Example: Predict Tokens using `generate()` API
-In the example [generate.py](./generate.py), we show a basic use case for a Gemma model to predict the next N tokens using `generate()` API, with IPEX-LLM INT4 optimizations on Intel GPUs.
+In the example [generate.py](./generate.py), we show a basic use case for a Gemma model to predict the next N tokens using `generate()` API, with IPEX-LLM INT4 optimizations.
 ### 1. Install
-#### 1.1 Installation on Linux
+We suggest using conda to manage the Python environment:
-We suggest using conda to manage the Python environment. For more information about conda installation, please refer to [here](https://docs.conda.io/en/latest/miniconda.html#).
 
 After installing conda, create a Python environment for IPEX-LLM:
 ```bash
 conda create -n llm python=3.11 # recommend to use Python 3.11
 conda activate llm
 
-# below command will install intel_extension_for_pytorch==2.1.10+xpu as default
+pip install --pre --upgrade ipex-llm[all] # install the latest ipex-llm nightly build with 'all' option
-pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
 
 # According to Gemma's requirement, please make sure you are using a stable version of Transformers, 4.38.1 or newer.
 pip install transformers==4.38.1
 ```
 
-#### 1.2 Installation on Windows
+### 2. Run
-We suggest using conda to manage environment:
+```
-```bash
+python ./generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --prompt PROMPT --n-predict N_PREDICT
-conda create -n llm python=3.11 libuv
-conda activate llm
-# below command will install intel_extension_for_pytorch==2.1.10+xpu as default
-pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-
-# According to Gemma's requirement, please make sure you are using a stable version of Transformers, 4.38.1 or newer.
-pip install transformers==4.38.1
 ```
 
-### 2. Configures OneAPI environment variables
+Arguments info:
-#### 2.1 Configurations for Linux
+- `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the huggingface repo id for the Gemma model (e.g. `google/gemma-7b-it`) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'google/gemma-7b-it'`.
-```bash
-source /opt/intel/oneapi/setvars.sh
-```
-
-#### 2.2 Configurations for Windows
-```cmd
-call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
-```
-> Note: Please make sure you are using **CMD** (**Anaconda Prompt** if using conda) to run the command as PowerShell is not supported.
-### 3. Runtime Configurations
-For optimal performance, it is recommended to set several environment variables. Please check out the suggestions based on your device.
-#### 3.1 Configurations for Linux
-<details>
-
-<summary>For Intel Arc™ A-Series Graphics and Intel Data Center GPU Flex Series</summary>
-
-```bash
-export USE_XETLA=OFF
-export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
-```
-
-</details>
-
-<details>
-
-<summary>For Intel Data Center GPU Max Series</summary>
-
-```bash
-export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so
-export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
-export ENABLE_SDP_FUSION=1
-```
-> Note: Please note that `libtcmalloc.so` can be installed by `conda install -c conda-forge -y gperftools=2.10`.
-</details>
-
-#### 3.2 Configurations for Windows
-<details>
-
-<summary>For Intel iGPU</summary>
-
-```cmd
-set SYCL_CACHE_PERSISTENT=1
-set BIGDL_LLM_XMX_DISABLED=1
-```
-
-</details>
-
-<details>
-
-<summary>For Intel Arc™ A300-Series or Pro A60</summary>
-
-```cmd
-set SYCL_CACHE_PERSISTENT=1
-```
-
-</details>
-
-<details>
-
-<summary>For other Intel dGPU Series</summary>
-
-There is no need to set further environment variables.
-
-</details>
-
-> Note: For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
-### 4. Running examples
-
-```bash
-python ./generate.py --prompt 'What is AI?'
-```
-
-In the example, several arguments can be passed to satisfy your requirements:
-
-- `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the huggingface repo id for the Gemma model (e.g. `google/gemma-7b-it` and `google/gemma-2b-it`) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'google/gemma-7b-it'`.
 - `--prompt PROMPT`: argument defining the prompt to be infered (with integrated prompt format for chat). It is default to be `'What is AI?'`.
 - `--n-predict N_PREDICT`: argument defining the max number of tokens to predict. It is default to be `32`.
 
-#### 2.3 Sample Output
+> **Note**: When loading the model in 4-bit, IPEX-LLM converts linear layers in the model into INT4 format. In theory, a *X*B model saved in 16-bit will requires approximately 2*X* GB of memory for loading, and ~0.5*X* GB memory for further inference.
+>
+> Please select the appropriate size of the Gemma model based on the capabilities of your machine.
+
+#### 2.1 Client
+On client Windows machine, it is recommended to run directly with full utilization of all cores:
+```powershell
+python ./generate.py 
+```
+
+#### 2.2 Server
+For optimal performance on server, it is recommended to set several environment variables (refer to [here](../README.md#best-known-configuration-on-linux) for more information), and run the example with all the physical cores of a single socket.
+
+E.g. on Linux,
+```bash
+# set IPEX-LLM env variables
+source ipex-llm-init
+
+# e.g. for a server with 48 cores per socket
+export OMP_NUM_THREADS=48
+numactl -C 0-47 -m 0 python ./generate.py
+```
+
+#### 2.4 Sample Output
 #### [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it)
 ```log
 Inference time: xxxx s

python/llm/example/GPU/HF-Transformers-AutoModels/Model/aquila/README.md

@@ -27,8 +27,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/aquila2/README.md

@@ -27,8 +27,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/baichuan/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/baichuan2/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/bluelm/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/chatglm2/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
@@ -161,16 +159,17 @@ conda activate llm
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
 ```
 
-### 2. Configures OneAPI environment variables
+
-#### 2.1 Configurations for Linux
+### 2. Configures OneAPI environment variables for Linux
+
+> [!NOTE]
+> Skip this step if you are running on Windows.
+
+This is a required step on Linux for APT or offline installed oneAPI. Skip this step for PIP-installed oneAPI.
+
 ```bash
 source /opt/intel/oneapi/setvars.sh
 ```
-#### 2.2 Configurations for Windows
-```cmd
-call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
-```
-> Note: Please make sure you are using **CMD** (**Anaconda Prompt** if using conda) to run the command as PowerShell is not supported.
 
 ### 3. Runtime Configurations
 For optimal performance, it is recommended to set several environment variables. Please check out the suggestions based on your device.
@@ -182,6 +181,7 @@ For optimal performance, it is recommended to set several environment variables.
 ```bash
 export USE_XETLA=OFF
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 ```
 
 </details>
@@ -193,11 +193,23 @@ export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
 ```bash
 export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 export ENABLE_SDP_FUSION=1
 ```
 > Note: Please note that `libtcmalloc.so` can be installed by `conda install -c conda-forge -y gperftools=2.10`.
 </details>
 
+<details>
+
+<summary>For Intel iGPU</summary>
+
+```bash
+export SYCL_CACHE_PERSISTENT=1
+export BIGDL_LLM_XMX_DISABLED=1
+```
+
+</details>
+
 #### 3.2 Configurations for Windows
 <details>
 
@@ -212,7 +224,7 @@ set BIGDL_LLM_XMX_DISABLED=1
 
 <details>
 
-<summary>For Intel Arc™ A300-Series or Pro A60</summary>
+<summary>For Intel Arc™ A-Series Graphics</summary>
 
 ```cmd
 set SYCL_CACHE_PERSISTENT=1
@@ -220,15 +232,8 @@ set SYCL_CACHE_PERSISTENT=1
 
 </details>
 
-<details>
+> [!NOTE]
-
+> For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
-<summary>For other Intel dGPU Series</summary>
-
-There is no need to set further environment variables.
-
-</details>
-
-> Note: For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
 
 ### 4. Running examples
 **Stream Chat using `stream_chat()` API**:

python/llm/example/GPU/HF-Transformers-AutoModels/Model/chatglm3/README.md

@@ -22,8 +22,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
@@ -158,8 +156,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/chinese-llama2/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/codegemma/README.md

@@ -28,8 +28,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/codellama/readme.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/cohere/README.md

@@ -26,8 +26,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/deciLM-7b/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/deepseek/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/distil-whisper/README.md

@@ -24,8 +24,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/dolly-v1/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/dolly-v2/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/falcon/README.md

@@ -24,8 +24,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/flan-t5/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/gemma/README.md

@@ -26,8 +26,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/gpt-j/readme.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/internlm/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/internlm2/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/llama2/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/llama3/README.md

@@ -24,8 +24,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/mistral/README.md

@@ -26,8 +26,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/mixtral/README.md

@@ -26,8 +26,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/mpt/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/phi-1_5/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/phi-2/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/phi-3/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/phixtral/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/qwen-vl/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/qwen/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/qwen1.5/README.md

@@ -27,8 +27,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/redpajama/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/replit/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/rwkv4/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/rwkv5/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/solar/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/stablelm/README.md

@@ -24,8 +24,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/starcoder/readme.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/vicuna/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/voiceassistant/README.md

@@ -29,8 +29,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/whisper/readme.md

@@ -24,8 +24,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/yi/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Model/yuan2/README.md

@@ -26,8 +26,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/HF-Transformers-AutoModels/Save-Load/README.md

@@ -26,20 +26,19 @@ conda activate llm
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
 ```
 
-### 2. Configures OneAPI environment variables
+### 2. Configures OneAPI environment variables for Linux
-#### 2.1 Configurations for Linux
+
+> [!NOTE]
+> Skip this step if you are running on Windows.
+
+This is a required step on Linux for APT or offline installed oneAPI. Skip this step for PIP-installed oneAPI.
+
 ```bash
 source /opt/intel/oneapi/setvars.sh
 ```
 
-#### 2.2 Configurations for Windows
+### 3. Runtime Configurations
-```cmd
+For optimal performance, it is recommended to set several environment variables. Please check out the suggestions based on your device.
-call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
-```
-> Note: Please make sure you are using **CMD** (**Anaconda Prompt** if using conda) to run the command as PowerShell is not supported.
-
-
-### 3. Run
 #### 3.1 Configurations for Linux
 <details>
 
@@ -48,6 +47,7 @@ call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
 ```bash
 export USE_XETLA=OFF
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 ```
 
 </details>
@@ -59,11 +59,23 @@ export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
 ```bash
 export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 export ENABLE_SDP_FUSION=1
 ```
 > Note: Please note that `libtcmalloc.so` can be installed by `conda install -c conda-forge -y gperftools=2.10`.
 </details>
 
+<details>
+
+<summary>For Intel iGPU</summary>
+
+```bash
+export SYCL_CACHE_PERSISTENT=1
+export BIGDL_LLM_XMX_DISABLED=1
+```
+
+</details>
+
 #### 3.2 Configurations for Windows
 <details>
 
@@ -78,7 +90,7 @@ set BIGDL_LLM_XMX_DISABLED=1
 
 <details>
 
-<summary>For Intel Arc™ A300-Series or Pro A60</summary>
+<summary>For Intel Arc™ A-Series Graphics</summary>
 
 ```cmd
 set SYCL_CACHE_PERSISTENT=1
@@ -86,15 +98,8 @@ set SYCL_CACHE_PERSISTENT=1
 
 </details>
 
-<details>
+> [!NOTE]
-
+> For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
-<summary>For other Intel dGPU Series</summary>
-
-There is no need to set further environment variables.
-
-</details>
-
-> Note: For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
 
 ### 4. Running examples
 

python/llm/example/GPU/LangChain/README.md

@@ -13,16 +13,17 @@ pip install -U chromadb==0.3.25
 pip install -U pandas==2.0.3
 ```
 
-### 3. Configures OneAPI environment variables
+### 3. Configures OneAPI environment variables for Linux
-#### 3.1 Configurations for Linux
+
+> [!NOTE]
+> Skip this step if you are running on Windows.
+
+This is a required step on Linux for APT or offline installed oneAPI. Skip this step for PIP-installed oneAPI.
+
 ```bash
 source /opt/intel/oneapi/setvars.sh
 ```
-#### 3.2 Configurations for Windows
+
-```cmd
-call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
-```
-> Note: Please make sure you are using **CMD** (**Anaconda Prompt** if using conda) to run the command as PowerShell is not supported.
 ### 4. Runtime Configurations
 For optimal performance, it is recommended to set several environment variables. Please check out the suggestions based on your device.
 #### 4.1 Configurations for Linux
@@ -33,6 +34,7 @@ For optimal performance, it is recommended to set several environment variables.
 ```bash
 export USE_XETLA=OFF
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 ```
 
 </details>
@@ -44,11 +46,23 @@ export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
 ```bash
 export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 export ENABLE_SDP_FUSION=1
 ```
 > Note: Please note that `libtcmalloc.so` can be installed by `conda install -c conda-forge -y gperftools=2.10`.
 </details>
 
+<details>
+
+<summary>For Intel iGPU</summary>
+
+```bash
+export SYCL_CACHE_PERSISTENT=1
+export BIGDL_LLM_XMX_DISABLED=1
+```
+
+</details>
+
 #### 4.2 Configurations for Windows
 <details>
 
@@ -63,7 +77,7 @@ set BIGDL_LLM_XMX_DISABLED=1
 
 <details>
 
-<summary>For Intel Arc™ A300-Series or Pro A60</summary>
+<summary>For Intel Arc™ A-Series Graphics</summary>
 
 ```cmd
 set SYCL_CACHE_PERSISTENT=1
@@ -71,15 +85,8 @@ set SYCL_CACHE_PERSISTENT=1
 
 </details>
 
-<details>
+> [!NOTE]
-
+> For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
-<summary>For other Intel dGPU Series</summary>
-
-There is no need to set further environment variables.
-
-</details>
-
-> Note: For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
 
 ### 5. Run the examples
 

python/llm/example/GPU/LlamaIndex/README.md

@@ -71,16 +71,17 @@ The RAG example ([rag.py](./rag.py)) is adapted from the [Official llama index R
     wget --user-agent "Mozilla" "https://arxiv.org/pdf/2307.09288.pdf" -O "data/llama2.pdf"
     ```
 
-### 2. Configures OneAPI environment variables
+### 2. Configures OneAPI environment variables for Linux
-#### 2.1 Configurations for Linux
+
+> [!NOTE]
+> Skip this step if you are running on Windows.
+
+This is a required step on Linux for APT or offline installed oneAPI. Skip this step for PIP-installed oneAPI.
+
 ```bash
 source /opt/intel/oneapi/setvars.sh
 ```
-#### 2.2 Configurations for Windows
+
-```cmd
-call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
-```
-> Note: Please make sure you are using **CMD** (**Anaconda Prompt** if using conda) to run the command as PowerShell is not supported.
 ### 3. Runtime Configurations
 For optimal performance, it is recommended to set several environment variables. Please check out the suggestions based on your device.
 #### 3.1 Configurations for Linux
@@ -91,6 +92,7 @@ For optimal performance, it is recommended to set several environment variables.
 ```bash
 export USE_XETLA=OFF
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 ```
 
 </details>
@@ -102,11 +104,23 @@ export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
 ```bash
 export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 export ENABLE_SDP_FUSION=1
 ```
 > Note: Please note that `libtcmalloc.so` can be installed by `conda install -c conda-forge -y gperftools=2.10`.
 </details>
 
+<details>
+
+<summary>For Intel iGPU</summary>
+
+```bash
+export SYCL_CACHE_PERSISTENT=1
+export BIGDL_LLM_XMX_DISABLED=1
+```
+
+</details>
+
 #### 3.2 Configurations for Windows
 <details>
 
@@ -121,7 +135,7 @@ set BIGDL_LLM_XMX_DISABLED=1
 
 <details>
 
-<summary>For Intel Arc™ A300-Series or Pro A60</summary>
+<summary>For Intel Arc™ A-Series Graphics</summary>
 
 ```cmd
 set SYCL_CACHE_PERSISTENT=1
@@ -129,15 +143,8 @@ set SYCL_CACHE_PERSISTENT=1
 
 </details>
 
-<details>
+> [!NOTE]
-
+> For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
-<summary>For other Intel dGPU Series</summary>
-
-There is no need to set further environment variables.
-
-</details>
-
-> Note: For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
 
 
 ### 4. Running the RAG example

python/llm/example/GPU/Long-Context/Chatglm3-32K/README.md

@@ -21,20 +21,22 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
+
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
 ```
 
-### 2. Configures OneAPI environment variables
+### 2. Configures OneAPI environment variables for Linux
-#### 2.1 Configurations for Linux
+
+> [!NOTE]
+> Skip this step if you are running on Windows.
+
+This is a required step on Linux for APT or offline installed oneAPI. Skip this step for PIP-installed oneAPI.
+
 ```bash
 source /opt/intel/oneapi/setvars.sh
 ```
-#### 2.2 Configurations for Windows
+
-```cmd
-call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
-```
-> Note: Please make sure you are using **CMD** (**Anaconda Prompt** if using conda) to run the command as PowerShell is not supported.
 ### 3. Runtime Configurations
 For optimal performance, it is recommended to set several environment variables. Please check out the suggestions based on your device.
 #### 3.1 Configurations for Linux
@@ -45,6 +47,7 @@ For optimal performance, it is recommended to set several environment variables.
 ```bash
 export USE_XETLA=OFF
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 ```
 
 </details>
@@ -56,11 +59,23 @@ export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
 ```bash
 export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 export ENABLE_SDP_FUSION=1
 ```
 > Note: Please note that `libtcmalloc.so` can be installed by `conda install -c conda-forge -y gperftools=2.10`.
 </details>
 
+<details>
+
+<summary>For Intel iGPU</summary>
+
+```bash
+export SYCL_CACHE_PERSISTENT=1
+export BIGDL_LLM_XMX_DISABLED=1
+```
+
+</details>
+
 #### 3.2 Configurations for Windows
 <details>
 
@@ -75,7 +90,7 @@ set BIGDL_LLM_XMX_DISABLED=1
 
 <details>
 
-<summary>For Intel Arc™ A300-Series or Pro A60</summary>
+<summary>For Intel Arc™ A-Series Graphics</summary>
 
 ```cmd
 set SYCL_CACHE_PERSISTENT=1
@@ -83,15 +98,9 @@ set SYCL_CACHE_PERSISTENT=1
 
 </details>
 
-<details>
+> [!NOTE]
+> For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
 
-<summary>For other Intel dGPU Series</summary>
-
-There is no need to set further environment variables.
-
-</details>
-
-> Note: For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
 ### 4. Running examples
 #### 4.1 Using simple prompt
 ```

python/llm/example/GPU/Long-Context/LLaMA2-32K/README.md

@@ -21,20 +21,22 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
+
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
 ```
 
-### 2. Configures OneAPI environment variables
+### 2. Configures OneAPI environment variables for Linux
-#### 2.1 Configurations for Linux
+
+> [!NOTE]
+> Skip this step if you are running on Windows.
+
+This is a required step on Linux for APT or offline installed oneAPI. Skip this step for PIP-installed oneAPI.
+
 ```bash
 source /opt/intel/oneapi/setvars.sh
 ```
-#### 2.2 Configurations for Windows
+
-```cmd
-call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
-```
-> Note: Please make sure you are using **CMD** (**Anaconda Prompt** if using conda) to run the command as PowerShell is not supported.
 ### 3. Runtime Configurations
 For optimal performance, it is recommended to set several environment variables. Please check out the suggestions based on your device.
 #### 3.1 Configurations for Linux
@@ -45,6 +47,7 @@ For optimal performance, it is recommended to set several environment variables.
 ```bash
 export USE_XETLA=OFF
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 ```
 
 </details>
@@ -56,11 +59,23 @@ export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
 ```bash
 export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 export ENABLE_SDP_FUSION=1
 ```
 > Note: Please note that `libtcmalloc.so` can be installed by `conda install -c conda-forge -y gperftools=2.10`.
 </details>
 
+<details>
+
+<summary>For Intel iGPU</summary>
+
+```bash
+export SYCL_CACHE_PERSISTENT=1
+export BIGDL_LLM_XMX_DISABLED=1
+```
+
+</details>
+
 #### 3.2 Configurations for Windows
 <details>
 
@@ -75,7 +90,7 @@ set BIGDL_LLM_XMX_DISABLED=1
 
 <details>
 
-<summary>For Intel Arc™ A300-Series or Pro A60</summary>
+<summary>For Intel Arc™ A-Series Graphics</summary>
 
 ```cmd
 set SYCL_CACHE_PERSISTENT=1
@@ -83,15 +98,9 @@ set SYCL_CACHE_PERSISTENT=1
 
 </details>
 
-<details>
+> [!NOTE]
+> For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
 
-<summary>For other Intel dGPU Series</summary>
-
-There is no need to set further environment variables.
-
-</details>
-
-> Note: For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
 ### 4. Running examples
 #### 4.1 Using simple prompt
 ```

python/llm/example/GPU/ModelScope-Models/README.md

@@ -29,27 +29,28 @@ pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-exte
 pip install modelscope
 ```
 
-### 2. Configures OneAPI environment variables
+### 2. Configures OneAPI environment variables for Linux
-#### 2.1 Configurations for Linux
+
+> [!NOTE]
+> Skip this step if you are running on Windows.
+
+This is a required step on Linux for APT or offline installed oneAPI. Skip this step for PIP-installed oneAPI.
+
 ```bash
 source /opt/intel/oneapi/setvars.sh
 ```
 
-#### 2.2 Configurations for Windows
-```cmd
-call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
-```
-> Note: Please make sure you are using **CMD** (**Anaconda Prompt** if using conda) to run the command as PowerShell is not supported.
-
 ### 3. Runtime Configurations
 For optimal performance, it is recommended to set several environment variables. Please check out the suggestions based on your device.
 #### 3.1 Configurations for Linux
 <details>
 
 <summary>For Intel Arc™ A-Series Graphics and Intel Data Center GPU Flex Series</summary>
+
 ```bash
 export USE_XETLA=OFF
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 ```
 
 </details>
@@ -61,11 +62,23 @@ export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
 ```bash
 export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 export ENABLE_SDP_FUSION=1
 ```
 > Note: Please note that `libtcmalloc.so` can be installed by `conda install -c conda-forge -y gperftools=2.10`.
 </details>
 
+<details>
+
+<summary>For Intel iGPU</summary>
+
+```bash
+export SYCL_CACHE_PERSISTENT=1
+export BIGDL_LLM_XMX_DISABLED=1
+```
+
+</details>
+
 #### 3.2 Configurations for Windows
 <details>
 
@@ -80,7 +93,7 @@ set BIGDL_LLM_XMX_DISABLED=1
 
 <details>
 
-<summary>For Intel Arc™ A300-Series or Pro A60</summary>
+<summary>For Intel Arc™ A-Series Graphics</summary>
 
 ```cmd
 set SYCL_CACHE_PERSISTENT=1
@@ -88,15 +101,9 @@ set SYCL_CACHE_PERSISTENT=1
 
 </details>
 
-<details>
+> [!NOTE]
+> For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
 
-<summary>For other Intel dGPU Series</summary>
-
-There is no need to set further environment variables.
-
-</details>
-
-> Note: For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
 ### 4. Running examples
 
 ```

python/llm/example/GPU/ModelScope-Models/Save-Load/README.md

@@ -28,20 +28,19 @@ pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-exte
 pip install modelscope==1.11.0
 ```
 
-### 2. Configures OneAPI environment variables
+### 2. Configures OneAPI environment variables for Linux
-#### 2.1 Configurations for Linux
+
+> [!NOTE]
+> Skip this step if you are running on Windows.
+
+This is a required step on Linux for APT or offline installed oneAPI. Skip this step for PIP-installed oneAPI.
+
 ```bash
 source /opt/intel/oneapi/setvars.sh
 ```
 
-#### 2.2 Configurations for Windows
+### 3. Runtime Configurations
-```cmd
+For optimal performance, it is recommended to set several environment variables. Please check out the suggestions based on your device.
-call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
-```
-> Note: Please make sure you are using **CMD** (**Anaconda Prompt** if using conda) to run the command as PowerShell is not supported.
-
-
-### 3. Run
 #### 3.1 Configurations for Linux
 <details>
 
@@ -50,6 +49,7 @@ call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
 ```bash
 export USE_XETLA=OFF
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 ```
 
 </details>
@@ -61,11 +61,23 @@ export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
 ```bash
 export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so
 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_CACHE_PERSISTENT=1
 export ENABLE_SDP_FUSION=1
 ```
 > Note: Please note that `libtcmalloc.so` can be installed by `conda install -c conda-forge -y gperftools=2.10`.
 </details>
 
+<details>
+
+<summary>For Intel iGPU</summary>
+
+```bash
+export SYCL_CACHE_PERSISTENT=1
+export BIGDL_LLM_XMX_DISABLED=1
+```
+
+</details>
+
 #### 3.2 Configurations for Windows
 <details>
 
@@ -80,7 +92,7 @@ set BIGDL_LLM_XMX_DISABLED=1
 
 <details>
 
-<summary>For Intel Arc™ A300-Series or Pro A60</summary>
+<summary>For Intel Arc™ A-Series Graphics</summary>
 
 ```cmd
 set SYCL_CACHE_PERSISTENT=1
@@ -88,15 +100,8 @@ set SYCL_CACHE_PERSISTENT=1
 
 </details>
 
-<details>
+> [!NOTE]
-
+> For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
-<summary>For other Intel dGPU Series</summary>
-
-There is no need to set further environment variables.
-
-</details>
-
-> Note: For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.
 
 ### 4. Running examples
 

python/llm/example/GPU/PyTorch-Models/Model/aquila2/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/baichuan/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/baichuan2/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/bark/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/bluelm/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/chatglm2/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
@@ -151,8 +149,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/chatglm3/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
@@ -150,8 +148,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/codegemma/README.md

@@ -28,8 +28,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/codellama/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/cohere/README.md

@@ -26,8 +26,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/deciLM-7b/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/deepseek/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/distil-whisper/README.md

@@ -24,8 +24,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/dolly-v1/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/dolly-v2/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/flan-t5/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/internlm2/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/llama2/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/llama3/README.md

@@ -24,8 +24,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/llava/README.md

@@ -29,8 +29,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/mamba/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/mistral/README.md

@@ -26,8 +26,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/mixtral/README.md

@@ -26,8 +26,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/phi-1_5/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/phi-2/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/phi-3/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/phixtral/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/qwen-vl/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/qwen1.5/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/replit/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/solar/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/speech-t5/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/stablelm/README.md

@@ -24,8 +24,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/starcoder/README.md

@@ -21,8 +21,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/yi/README.md

@@ -23,8 +23,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

python/llm/example/GPU/PyTorch-Models/Model/yuan2/README.md

@@ -26,8 +26,6 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11 libuv
 conda activate llm
-# below command will use pip to install the Intel oneAPI Base Toolkit 2024.0
-pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/