update quickstart md related to llama.cpp/ollama (#13265)

* update quickstart md related to llama.cpp/ollama

* update troubleshooting

* update quickstart/troubleshooting according to RuonanWang's comments

docs/mddocs/Quickstart/llama3_llamacpp_ollama_quickstart.md

@@ -50,7 +50,6 @@ To use GPU acceleration, several environment variables are required or recommend
   
   ```bash
   source /opt/intel/oneapi/setvars.sh
-  export SYCL_CACHE_PERSISTENT=1
   # [optional] under most circumstances, the following environment variable may improve performance, but sometimes this may also cause performance degradation
   export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
   # [optional] if you want to run on single GPU, use below command to limit GPU may improve performance
@@ -62,7 +61,6 @@ To use GPU acceleration, several environment variables are required or recommend
   Please run the following command in Miniforge Prompt.
 
   ```cmd
-  set SYCL_CACHE_PERSISTENT=1
   rem under most circumstances, the following environment variable may improve performance, but sometimes this may also cause performance degradation
   set SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
   ```
@@ -135,7 +133,6 @@ Launch the Ollama service:
   export ZES_ENABLE_SYSMAN=1
   export OLLAMA_NUM_GPU=999
   source /opt/intel/oneapi/setvars.sh
-  export SYCL_CACHE_PERSISTENT=1
   # [optional] under most circumstances, the following environment variable may improve performance, but sometimes this may also cause performance degradation
   export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
   # [optional] if you want to run on single GPU, use below command to limit GPU may improve performance
@@ -152,7 +149,6 @@ Launch the Ollama service:
   set no_proxy=localhost,127.0.0.1
   set ZES_ENABLE_SYSMAN=1
   set OLLAMA_NUM_GPU=999
-  set SYCL_CACHE_PERSISTENT=1
   rem under most circumstances, the following environment variable may improve performance, but sometimes this may also cause performance degradation
   set SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
 

docs/mddocs/Quickstart/llama_cpp_quickstart.md

@@ -123,7 +123,6 @@ To use GPU acceleration, several environment variables are required or recommend
   
   ```bash
   source /opt/intel/oneapi/setvars.sh
-  export SYCL_CACHE_PERSISTENT=1
   # [optional] under most circumstances, the following environment variable may improve performance, but sometimes this may also cause performance degradation
   export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
   # [optional] if you want to run on single GPU, use below command to limit GPU may improve performance
@@ -135,7 +134,6 @@ To use GPU acceleration, several environment variables are required or recommend
   Please run the following command in Miniforge Prompt.
 
   ```cmd
-  set SYCL_CACHE_PERSISTENT=1
   rem under most circumstances, the following environment variable may improve performance, but sometimes this may also cause performance degradation
   set SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
   ```
@@ -384,3 +382,7 @@ If you meet this error, please check your Linux kernel version first. You may en
 
 #### 16. `backend buffer base cannot be NULL` error
 If you meet `ggml-backend.c:96: GGML_ASSERT(base != NULL && "backend buffer base cannot be NULL") failed`, simply adding `-c xx` parameter during inference, for example `-c 1024` would resolve this problem.
+
+#### 17. `The program was built for 1 devices` error
+
+If you meet error looks like `The program was built for 1 devices. Build program log for 'Intel(R) Arc(TM) A770 Graphics`:, this may be caused by the command `set/export SYCL_CACHE_PERSISTENT=1`. Please try `unset SYCL_CACHE_PERSISTENT` in the terminal. If the variable has been written into a configuration file such as `~/.bashrc`, you need to manually delete or comment out the conrresponding line.

docs/mddocs/Quickstart/llama_cpp_quickstart.zh-CN.md

@@ -124,7 +124,6 @@ cd llama-cpp
   
   ```bash
   source /opt/intel/oneapi/setvars.sh
-  export SYCL_CACHE_PERSISTENT=1
   # [optional] under most circumstances, the following environment variable may improve performance, but sometimes this may also cause performance degradation
   export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
   # [optional] if you want to run on single GPU, use below command to limit GPU may improve performance
@@ -136,7 +135,6 @@ cd llama-cpp
   请在 Miniforge Prompt 中运行下列命令。
 
   ```cmd
-  set SYCL_CACHE_PERSISTENT=1
   rem under most circumstances, the following environment variable may improve performance, but sometimes this may also cause performance degradation
   set SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
   ```
@@ -385,3 +383,8 @@ llama_perf_context_print:       total time =      xx.xx ms /    62 tokens
 
 #### 16. `backend buffer base cannot be NULL` 错误
 如果你遇到`ggml-backend.c:96: GGML_ASSERT(base != NULL && "backend buffer base cannot be NULL") failed`错误，在推理时传入参数`-c xx`，如`-c 1024`即可解决。
+
+#### 17.  `The program was built for 1 devices` 错误
+如果遇到错误`The program was built for 1 devices]. Build program log for 'Intel(R) Arc(TM) A770 Graphics':`， 这是因为设置了`SYCL_CACHE_PERSISTENT=1`。请按照以下命令操作：
+
+在命令行中输入`unset SYCL_CACHE_PERSISTENT`；如果写入了配置文件，比如`~.bashrc`等，需要手动删去或注释掉对应的行。

docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md

@@ -49,10 +49,6 @@ Then, extract the zip file to a folder.
 ### Step 2: Runtime Configuration
 
 - Open "Command Prompt" (cmd), and enter the extracted folder through `cd /d PATH\TO\EXTRACTED\FOLDER`
-- To use GPU acceleration, several environment variables are required or recommended before running `llama.cpp`.
-  ```cmd
-  set SYCL_CACHE_PERSISTENT=1
-  ```
 - For multi-GPUs user, go to [Tips](#multi-gpus-usage) for how to select specific GPU.
 
 ### Step 3: Run GGUF models
@@ -133,10 +129,6 @@ Then, extract the tgz file to a folder.
 ### Step 2: Runtime Configuration
 
 - Open a "Terminal", and enter the extracted folder through `cd /PATH/TO/EXTRACTED/FOLDER`
-- To use GPU acceleration, several environment variables are required or recommended before running `llama.cpp`.
-  ```bash
-  export SYCL_CACHE_PERSISTENT=1
-  ```
 - For multi-GPUs user, go to [Tips](#multi-gpus-usage) for how to select specific GPU.
 
 ### Step 3: Run GGUF models

docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.zh-CN.md

@@ -49,10 +49,6 @@
 ### 步骤 2：运行时配置
 
 - 打开命令提示符（cmd），并通过在命令行输入指令 `cd /d PATH\TO\EXTRACTED\FOLDER` 进入解压缩后的文件夹。
-- 要使用 GPU 加速，在运行 `llama.cpp` 之前，建议设置如下环境变量。
-  ```cmd
-  set SYCL_CACHE_PERSISTENT=1
-  ```
 - 对于多 GPU 用户，请转至[提示](#多-gpu-配置)了解如何选择特定的 GPU。
 
 ### 步骤 3：运行 GGUF 模型
@@ -135,10 +131,6 @@ llama_perf_context_print:       total time =   xxxxx.xx ms /  1385 tokens
 ### 步骤 2：运行时配置
 
 - 开启一个终端，输入命令 `cd /PATH/TO/EXTRACTED/FOLDER` 进入解压缩后的文件夹。
-- 要使用 GPU 加速，在运行 `llama.cpp` 之前，建议设置如下环境变量。
-  ```bash
-  export SYCL_CACHE_PERSISTENT=1
-  ```
 - 对于多 GPU 用户，请转至[提示](#多-gpu-配置)了解如何选择特定的 GPU。
 
 ### 步骤 3：运行 GGUF 模型

docs/mddocs/Quickstart/ollama_quickstart.md

@@ -86,7 +86,6 @@ You may launch the Ollama service as below:
   export ZES_ENABLE_SYSMAN=1
   
   source /opt/intel/oneapi/setvars.sh
-  export SYCL_CACHE_PERSISTENT=1
   # [optional] under most circumstances, the following environment variable may improve performance, but sometimes this may also cause performance degradation
   export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
   # [optional] if you want to run on single GPU, use below command to limit GPU may improve performance
@@ -103,7 +102,6 @@ You may launch the Ollama service as below:
   set OLLAMA_NUM_GPU=999
   set no_proxy=localhost,127.0.0.1
   set ZES_ENABLE_SYSMAN=1
-  set SYCL_CACHE_PERSISTENT=1
   rem under most circumstances, the following environment variable may improve performance, but sometimes this may also cause performance degradation
   set SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
 
@@ -246,3 +244,8 @@ When you start `ollama serve` and execute `ollama run <model_name>`, but `ollama
 
 1. On Linux, you may run `systemctl stop ollama` to stop all ollama processes, and then rerun `ollama serve` in your current directory.
 2. On Windows, you may `set OLLAMA_HOST=0.0.0.0` to ensure that the ollama commands run on the current `ollama serve`.
+
+#### 11. Error `The program was built for 1 devices` when executing `ollama serve`
+When you start `ollama serve` and execute `ollama run <model_name>`, but encounter the error `The program was built for 1 devices. Build program log for 'Intel(R) Arc(TM) A770 Graphics':`. This may be caused by the command `set/export SYCL_CACHE_PERSISTENT=1`. Please run commands as below:
+
+run `unset SYCL_CACHE_PERSISTENT` in the terminal; if the variable has been written into a configuration file such as `~/.bashrc`, you need to manually delete or comment out the conrresponding line.

docs/mddocs/Quickstart/ollama_quickstart.zh-CN.md

@@ -86,7 +86,6 @@ IPEX-LLM 现在已支持在 Linux 和 Windows 系统上运行 `Ollama`。
   export ZES_ENABLE_SYSMAN=1
   
   source /opt/intel/oneapi/setvars.sh
-  export SYCL_CACHE_PERSISTENT=1
   # [optional] under most circumstances, the following environment variable may improve performance, but sometimes this may also cause performance degradation
   export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
   # [optional] if you want to run on single GPU, use below command to limit GPU may improve performance
@@ -103,7 +102,6 @@ IPEX-LLM 现在已支持在 Linux 和 Windows 系统上运行 `Ollama`。
   set OLLAMA_NUM_GPU=999
   set no_proxy=localhost,127.0.0.1
   set ZES_ENABLE_SYSMAN=1
-  set SYCL_CACHE_PERSISTENT=1
   rem under most circumstances, the following environment variable may improve performance, but sometimes this may also cause performance degradation
   set SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
 
@@ -241,3 +239,8 @@ Ollama 默认每 5 分钟从 GPU 内存卸载一次模型。针对 ollama 的最
 
 在 Linux 上，你可以运行 `systemctl stop ollama` 来停止所有的 ollama 进程，然后在当前目录重新执行 `ollama serve`。
 在 Windows 上，你可以运行 `set OLLAMA_HOST=0.0.0.0` 以确保 ollama 命令通过当前的 `ollama serve` 上运行。
+
+#### 11. 执行 `ollama serve` 时报 `The program was built for 1 devices` 错误
+当启动`ollama serve`或者`ollama run <model_name>`时，产生报错`The program was built for 1 devices. Build program log for 'Intel(R) Arc(TM) A770 Graphics':`， 这是因为设置了`SYCL_CACHE_PERSISTENT=1`。请按照以下命令操作：
+
+在命令行中输入`unset SYCL_CACHE_PERSISTENT`；如果写入了配置文件，比如`~.bashrc`等，需要手动删去或注释掉对应的行。