Further Modify CPU example (#11081)

* modify CPU example

* update

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

@@ -4,7 +4,7 @@ This folder contains examples showcasing how to use `langchain` with `ipex-llm`.
 
 ### Install-IPEX LLM
 
-Ensure `ipex-llm` is installed by following the [IPEX-LLM Installation Guide](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm#install). 
+Ensure `ipex-llm` is installed by following the [IPEX-LLM Installation Guide](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Overview/install_cpu.html). 
 
 ### Install Dependences Required by the Examples
 

python/llm/example/CPU/QLoRA-FineTuning/README.md

@@ -18,7 +18,7 @@ This example is ported from [bnb-4bit-training](https://colab.research.google.co
 ```bash
 conda create -n llm python=3.11
 conda activate llm
-pip install --pre --upgrade ipex-llm[all]
+pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 pip install transformers==4.36.0
 pip install peft==0.10.0
 pip install datasets

python/llm/example/CPU/README.md

@@ -27,6 +27,6 @@ This folder contains examples of running IPEX-LLM on Intel CPU:
 ## Best Known Configuration on Linux
 For better performance, it is recommended to set environment variables on Linux with the help of IPEX-LLM:
 ```bash
-pip install ipex-llm
+pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 source ipex-llm-init
 ```

python/llm/example/CPU/Speculative-Decoding/README.md

@@ -9,7 +9,7 @@ You can use IPEX-LLM to run BF16 inference for any Huggingface Transformer model
 To run these examples with IPEX-LLM, we have some recommended requirements for your machine, please refer to [here](../README.md#system-support) for more information. Make sure you have installed `ipex-llm` before:
 
 ```bash
-pip install --pre --upgrade ipex-llm[all]
+pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 ```
 
 Moreover, install IPEX 2.1.0, which can be done through `pip install intel_extension_for_pytorch==2.1.0`.

python/llm/example/CPU/Speculative-Decoding/baichuan2/README.md

@@ -11,7 +11,7 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11
 conda activate llm
-pip install --pre --upgrade ipex-llm[all]
+pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 pip install intel_extension_for_pytorch==2.1.0
 pip install transformers==4.31.0
 ```

python/llm/example/CPU/Speculative-Decoding/chatglm3/README.md

@@ -9,7 +9,7 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11
 conda activate llm
-pip install --pre --upgrade ipex-llm[all]
+pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 ```
 ### 2. Configures OneAPI environment variables
 ```bash

python/llm/example/CPU/Speculative-Decoding/llama2/README.md

@@ -11,7 +11,7 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11
 conda activate llm
-pip install --pre --upgrade ipex-llm[all]
+pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 pip install intel_extension_for_pytorch==2.1.0
 ```
 ### 2. Configures high-performing processor environment variables

python/llm/example/CPU/Speculative-Decoding/llama3/README.md

@@ -17,7 +17,7 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11
 conda activate llm
-pip install --pre --upgrade ipex-llm[all]
+pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 # transformers>=4.33.0 is required for Llama3 with IPEX-LLM optimizations
 pip install transformers==4.37.0 
 ```

python/llm/example/CPU/Speculative-Decoding/mistral/README.md

@@ -11,7 +11,7 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11
 conda activate llm
-pip install --pre --upgrade ipex-llm[all]
+pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 pip install intel_extension_for_pytorch==2.1.0
 pip install transformers==4.35.2
 ```

python/llm/example/CPU/Speculative-Decoding/mixtral/README.md

@@ -11,7 +11,7 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11
 conda activate llm
-pip install --pre --upgrade ipex-llm[all]
+pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 pip install transformers==4.36.0
 ```
 ### 2. Configures high-performing processor environment variables

python/llm/example/CPU/Speculative-Decoding/qwen/README.md

@@ -10,7 +10,7 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11
 conda activate llm
-pip install --pre --upgrade ipex-llm[all]
+pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 pip install tiktoken einops transformers_stream_generator  # additional package required for Qwen to conduct generation
 ```
 ### 2. Configures environment variables

python/llm/example/CPU/Speculative-Decoding/starcoder/README.md

@@ -11,7 +11,7 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11
 conda activate llm
-pip install --pre --upgrade ipex-llm[all]
+pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 pip install intel_extension_for_pytorch==2.1.0
 pip install transformers==4.31.0
 ```

python/llm/example/CPU/Speculative-Decoding/vicuna/README.md

@@ -11,7 +11,7 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11
 conda activate llm
-pip install --pre --upgrade ipex-llm[all]
+pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 pip install intel_extension_for_pytorch==2.1.0
 ```
 ### 2. Configures high-performing processor environment variables

python/llm/example/CPU/Speculative-Decoding/ziya/README.md

@@ -11,7 +11,7 @@ We suggest using conda to manage environment:
 ```bash
 conda create -n llm python=3.11
 conda activate llm
-pip install --pre --upgrade ipex-llm[all]
+pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 pip install intel_extension_for_pytorch==2.1.0
 pip install transformers==4.35.2
 ```

python/llm/example/CPU/vLLM-Serving/README.md

@@ -18,7 +18,7 @@ conda create -n ipex-vllm python=3.11
 conda activate ipex-vllm
 # Install dependencies
 pip3 install numpy
-pip3 install --pre --upgrade ipex-llm[all]
+pip3 install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 pip3 install psutil
 pip3 install sentencepiece  # Required for LLaMA tokenizer.
 pip3 install fastapi