update cpp quickstart (#11031)

docs/readthedocs/source/doc/LLM/Quickstart/llama_cpp_quickstart.md

@@ -102,6 +102,12 @@ Then you can use following command to initialize `llama.cpp` with IPEX-LLM:
    ``init-llama-cpp`` will create soft links of llama.cpp's executable files to current directory, if you want to use these executable files in other places, don't forget to run above commands again.
 ```
 
+```eval_rst
+.. note::
+
+   If you have installed higher version ``ipex-llm[cpp]`` and want to upgrade your binary file, don't forget to remove old binary files first and initialize again with ``init-llama-cpp`` or ``init-llama-cpp.bat``.
+```
+
 **Now you can use these executable files by standard llama.cpp's usage.**
 
 #### Runtime Configuration
@@ -314,12 +320,6 @@ If your program hang after `llm_load_tensors:  SYCL_Host buffer size =    xx.xx
 
 If `-ngl` is set to 0, it means that the entire model will run on CPU. If `-ngl` is set to greater than 0 and less than model layers, then it's mixed GPU + CPU scenario.
 
-```eval_rst
-.. note::
-
-  Now Q4_0 /Q4_1 /Q8_0 precisons are not allowed to run on CPU or run with mixed CPU and GPU.
-```
-
 #### How to specificy GPU
 If your machine has multi GPUs, `llama.cpp` will default use all GPUs which may slow down your inference for model which can run on single GPU. You can add `-sm none` in your command to use one GPU only.
 

docs/readthedocs/source/doc/LLM/Quickstart/ollama_quickstart.md

@@ -46,6 +46,12 @@ Activate the `llm-cpp` conda environment and initialize Ollama by executing the
 
 ```
 
+```eval_rst
+.. note::
+
+   If you have installed higher version ``ipex-llm[cpp]`` and want to upgrade your ollama binary file, don't forget to remove old binary files first and initialize again with ``init-ollama`` or ``init-ollama.bat``.
+```
+
 **Now you can use this executable file by standard ollama's usage.**
 
 ### 3 Run Ollama Serve