[NPU] Add QuickStart for llama.cpp NPU portable zip (#12899)

docs/mddocs/Quickstart/README.md

@@ -24,6 +24,7 @@ This section includes efficient guide to show you how to:
 - [Run llama.cpp with IPEX-LLM on Intel GPU](./llama_cpp_quickstart.md)
 - [Run Ollama with IPEX-LLM on Intel GPU](./ollama_quickstart.md)
 - [Run Ollama Portable Zip on Intel GPU with IPEX-LLM](./ollama_portable_zip_quickstart.md)
+- [Run llama.cpp Portable Zip on Intel NPU with IPEX-LLM](./llama_cpp_npu_portable_zip_quickstart.md)
 - [Run Llama 3 on Intel GPU using llama.cpp and ollama with IPEX-LLM](./llama3_llamacpp_ollama_quickstart.md)
 - [Run RAGFlow with IPEX-LLM on Intel GPU](./ragflow_quickstart.md)
 - [Run GraphRAG with IPEX-LLM on Intel GPU](./graphrag_quickstart.md)

docs/mddocs/Quickstart/llama_cpp_npu_portable_zip_quickstart.md

@@ -0,0 +1,65 @@
+# Run llama.cpp Portable Zip on Intel NPU with IPEX-LLM
+<p>
+  <b>< English</b> | <a href='./llama_cpp_npu_portable_zip_quickstart.zh-CN.md'>中文</a> >
+</p>
+
+IPEX-LLM provides llama.cpp support for running GGUF models on Intel NPU. This guide demonstrates how to use [llama.cpp NPU portable zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) to directly run on Intel NPU (without the need of manual installations).
+
+> [!IMPORTANT]
+> 
+> - IPEX-LLM currently only supports Windows on Intel NPU.
+> - Only `meta-llama/Llama-3.2-3B-Instruct`, `deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B` and `deepseek-ai/DeepSeek-R1-Distill-Qwen-7B` are supported.
+
+
+## Table of Contents
+- [Prerequisites](#prerequisites)
+- [Step 1: Download and Unzip](#step-1-download-and-unzip)
+- [Step 2: Setup](#step-2-setup)
+- [Step 3: Run GGUF Model](#step-3-run-gguf-model)
+- [More details](npu_quickstart.md)
+
+
+## Prerequisites
+
+Check your NPU driver version, and update it if needed:
+
+- Please use NPU driver version [32.0.100.3104](https://www.intel.com/content/www/us/en/download/794734/838895/intel-npu-driver-windows.html).
+- And you could refer to [here](npu_quickstart.md#update-npu-driver) for details about NPU driver update.
+
+## Step 1: Download and Unzip
+
+Download IPEX-LLM llama.cpp NPU portable zip for Windows users from the [link](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly).
+
+Then, extract the zip file to a folder.
+
+## Step 2: Setup
+
+- Open "Command Prompt" (cmd), and enter the extracted folder through `cd /d PATH\TO\EXTRACTED\FOLDER`
+- Runtime configuration based on your device:
+  - For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxV (code name Lunar Lake)**:
+
+    - For Intel Core™ Ultra 7 Processor 258V:
+        No runtime configuration required.
+
+    - For Intel Core™ Ultra 5 Processor 228V & 226V:
+        ```cmd
+        set IPEX_LLM_NPU_DISABLE_COMPILE_OPT=1
+        ```
+
+  - For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxK or 2xxH (code name Arrow Lake)**:
+    ```cmd
+    set IPEX_LLM_NPU_ARL=1
+    ```
+
+  - For **Intel Core™ Ultra Processors (Series 1) with processor number 1xxH (code name Meteor Lake)**:
+    ```cmd
+    set IPEX_LLM_NPU_MTL=1
+    ```
+
+## Step 3: Run GGUF Model
+
+You could then use cli tool to run GGUF models on Intel NPU through running `llama-cli-npu.exe` in the "Command Prompt" as following:
+
+```cmd
+llama-cli-npu.exe -m DeepSeek-R1-Distill-Qwen-7B-Q6_K.gguf -n 32 --prompt "What is AI?"
+```

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

@@ -0,0 +1,65 @@
+# 使用 IPEX-LLM 在 Intel NPU 上运行 llama.cpp Portable Zip
+<p>
+   < <a href='./llama_cpp_npu_portable_zip_quickstart.md'>English</a> | <b>中文</b> >
+</p>
+
+IPEX-LLM 提供了 llama.cpp 的相关支持以在 Intel NPU 上运行 GGUF 模型。本指南演示如何使用 [llama.cpp NPU portable zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) 在 Intel NPU 上直接免安装运行。
+
+> [!IMPORTANT]
+> 
+> - IPEX-LLM 在 Intel NPU 上暂时只支持 Windows。
+> - 目前支持的模型有 `meta-llama/Llama-3.2-3B-Instruct`, `deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B` 和 `deepseek-ai/DeepSeek-R1-Distill-Qwen-7B`。
+
+
+## 目录
+- [系统环境安装](#系统环境准备)
+- [步骤 1：下载和解压](#步骤-1下载和解压)
+- [步骤 2：启动](#步骤-2启动)
+- [步骤 3：运行 GGUF 模型](#步骤-3运行-gguf-模型)
+- [更多信息](npu_quickstart.md)
+
+
+## 系统环境准备
+
+检查你的 NPU 驱动程序版本，并根据需要进行更新：
+
+- 请使用 NPU 驱动版本 [32.0.100.3104](https://www.intel.com/content/www/us/en/download/794734/838895/intel-npu-driver-windows.html)
+- 你也可以参考这里 (https://github.com/intel/ipex-llm/blob/main/docs/mddocs/Quickstart/npu_quickstart.md#update-npu-driver) 了解更多关于 NPU 驱动程序更新的细节
+
+## 步骤 1：下载和解压
+
+从此[链接](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly)下载 IPEX-LLM llama.cpp NPU portable zip。
+
+然后，将 zip 文件解压到一个文件夹中。
+
+## 步骤 2：启动
+
+- 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
+- 根据你的设备完成运行配置：
+  - 对于 **处理器为 2xxV 的 Intel Core™ Ultra Processors (Series 2) (代号 Lunar Lake)**:
+
+    - 对于 Intel Core™ Ultra 7 Processor 258V:
+        不需要额外的配置
+
+    - 对于 Intel Core™ Ultra 5 Processor 228V & 226V:
+        ```cmd
+        set IPEX_LLM_NPU_DISABLE_COMPILE_OPT=1
+        ```
+
+  - 对于 **处理器为 2xxK 或者 2xxH 的 Intel Core™ Ultra Processors (Series 2) (代号 Arrow Lake)**:
+    ```cmd
+    set IPEX_LLM_NPU_ARL=1
+    ```
+
+  - 对于 **处理器为 1xxH 的 Intel Core™ Ultra Processors (Series 1) (代号 Meteor Lake)**:
+    ```cmd
+    set IPEX_LLM_NPU_MTL=1
+    ```
+
+## 步骤 3：运行 GGUF 模型
+
+你可以在命令行中使用 cli 工具 `llama-cli-npu.exe` 以在 Intel NPU 上运行 GGUF 模型:
+
+```cmd
+llama-cli-npu.exe -m DeepSeek-R1-Distill-Qwen-7B-Q6_K.gguf -n 32 --prompt "What is AI?"
+```

docs/mddocs/Quickstart/npu_quickstart.md

@@ -193,6 +193,10 @@ Refer to the following table for verified models:
 | LLaMA 3.2 | [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) | Meteor Lake, Lunar Lake, Arrow Lake |
 | DeepSeek-R1 | [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B), [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) | Meteor Lake, Lunar Lake, Arrow Lake |
 
+> [!Important]
+>
+> You may use [llama.cpp portable zip](./llama_cpp_npu_portable_zip_quickstart.md) to directly run GGUF models on Intel NPU with ipex-llm (***without the need of manual installations***).
+
 ### Run GGUF model using CLI tool
 #### Setup for running llama.cpp