# ORT GenAI

Onnxrutime-GenAI 可以在 Qualcomm 平台 NPU 上使用 ONNX Runtime 執行生成式 AI 模型。更多與原始碼有關的資訊，請參閱 [onnxruntime-genai repository](https://github.com/microsoft/onnxruntime-genai)。

透過 ONNX 模型，高效率地執行生成式 AI 工作流程。其支援的主要功能，包括使用 ONNX Runtime 進行推論、迴圈產生詞元、logits 操作以及 KV 快取處理。您也可以使用高階 generate() 函式簡化操作或手動重複產生迴圈，一次產生一個詞元，並動態調整參數。函式庫包含對貪婪解碼、集束搜尋以及 Top-K、Top-P 等取樣策略的內建支援，同時提供了重複懲罰等 logits 處理功能，且方便整合自訂評分邏輯。

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## 安裝

以系統管理員模式開啟 PowerShell，並執行以下命令以安裝相依性。為了教學，必須進行此安裝，大約需要 3-5 分鐘。若需要與安裝有關的詳細資訊，請參閱 [oga_setup.ps1](https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Scripts/oga_setup.ps1)。

1. 設定 $DIR\_PATH（預設為 `C:\WoS_AI`），使用者可以變更為需要的路徑

$DIR_PATH  = "C:\WoS_AI"
        Copy to clipboard
2. 執行下列命令，下載安裝指令碼。若已下載，則可跳過此步驟。

if (!(Test-Path $DIR_PATH\Downloads\Setup_Scripts)) {mkdir $DIR_PATH\Downloads\Setup_Scripts}
        Invoke-WebRequest -O oga_setup.ps1 https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Scripts/oga_setup.ps1
        Move-Item -Path ".\oga_setup.ps1" -Destination $DIR_PATH\Downloads\Setup_Scripts -Force
        Copy to clipboard
3. 執行以下命令，以安裝 onnxrutime-genai 的必要條件。

> 
> 
> cd $DIR_PATH
>     powershell  -command "&{. .\Downloads\Setup_Scripts\oga_setup.ps1; OGA_Setup -rootDirPath $DIR_PATH}"
>     Copy to clipboard
> 
> 
> 以下相依性已下載並安裝：
> 
> 
> 
> > 
> > 
> > - Python amd64 3.12.6 版本
> > - Git arm64 2.49.0 版本
> > - onnxruntime-genai 0.8.0 版本
> > - onnxruntime-qnn 1.22.0 版本
> 
> 
> 
> 備註
> 
> 
> 如果在系統上停用執行指令碼，則如下所示，執行以下命令，並輸入「A」（全部 Yes）。
> 
> 
> Set-ExecutionPolicy RemoteSigned
>     Copy to clipboard

## 下載模型

從各種不同來源且適用於 Qualcomm 平台的開放原始碼最佳化模型開始，例如：

> 
> 
> - 來自於 Microsoft Visual Studio Code AI 工具套件的模型目錄
> - LLMWare

### 從 LLMWare 下載模型的步驟

> 
> 
> 使用系統管理員模式開啟 PowerShell，並執行以下命令，下載模型。
> 
> 1. 將 $DIR\_PATH 變數（預設：`C:\WoS_AI`）設定為「安裝」步驟中使用的相同資料夾路徑。
> 
> 
> 
> 
> > 
> > 
> > $DIR_PATH = "C:\WoS_AI"
> >     
> >     cd $DIR_PATH
> >     Copy to clipboard
> 
> 
> 2. 執行 git 複製命令，從 Hugging Face 複製模型的 repository。
> 
> 
> git clone https://huggingface.co/llmware/llama-3.2-3b-onnx-qnn
>         Copy to clipboard
> 
> 
> 備註
> 
>     - 如果 git 複製操作失敗，則刪除 llama-3.2-3b-onnx-qnn 資料夾，並重新執行步驟 2，以重試流程。
>     - 模型會下載至 `$DIR_PATH\llama-3.2-3b-onnx-qnn`。

## 模型推理

### 裝置端模型推論的步驟

> 
> 
> 1. 將 $DIR\_PATH 變數（預設：`C:\WoS_AI`）設定為「安裝」步驟中使用的相同資料夾路徑。
> 
> 
> 
> 
> > 
> > 
> > $DIR_PATH = "C:\WoS_AI"
> >     
> >     cd $DIR_PATH
> >     Copy to clipboard
> 
> 
> 2. 下載 model-qa.py 指令碼。
> 
> 
> curl https://raw.githubusercontent.com/microsoft/onnxruntime-genai/refs/heads/main/examples/python/model-qa.py -o model-qa.py
>         Copy to clipboard
> 3. 啟動在安裝步驟中之 OGA\_Setup 期間建立的 SDX\_OGA\_ENV。
> 
> 
> powershell -NoExit -command "&{cd $DIR_PATH; . .\Downloads\Setup_Scripts\oga_setup.ps1; Activate_OGA_VENV -rootDirPath $DIR_PATH}"
>         Copy to clipboard
> 4. 執行 model-qa.py 指令碼。
> 
> 
> 
> 
> > 
> > 
> > python .\model-qa.py --model_path .\llama-3.2-3b-onnx-qnn --execution_provider “follow_config” --timings
> >     Copy to clipboard
> 
> 
> 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)

請參閱 [使用 NPU 在 Snapdragon 裝置上執行 SLM](https://onnxruntime.ai/docs/genai/tutorials/snapdragon.html) ，以深入瞭解 model-qa.py 的內容。

## 更多細節

1. AI Dev Gallery — 開發者也可以探索目前處於公開預覽階段的 [AI Dev Gallery](https://github.com/microsoft/ai-dev-gallery)，此應用程式有助於將 AI 功能整合至應用程式和專案中。
2. 建立模型 — 若需要為 Qualcomm 平台建立模型資產時，[請遵循此處說明](https://onnxruntime.ai/docs/genai/howto/build-models-for-snapdragon.html)。
3. C++ 應用程式 — 若想要在 C++ 應用程式中的 Qualcomm Snapdragon NPU 上執行模型，[請遵循此處說明](https://onnxruntime.ai/docs/genai/tutorials/snapdragon.html#c-application)。
4. LLMWare 模型目錄 — 造訪 Hugging Face 上的 LLMWare 頁面，搜尋以 **-qnn** 結尾的模型。此類模型已最佳化 Qualcomm Snapdragon 的 NPU。可用的模型包括：

> 
> 
> - [llmware/phi-3.5-onnx-qnn](https://huggingface.co/llmware/phi-3.5-onnx-qnn)
> - [llmware/llama-3.2-3b-onnx-qnn](https://huggingface.co/llmware/llama-3.2-3b-onnx-qnn)

## 常見問題

- **如何從 VS Code AI 工具套件擴充功能下載模型？**

    - 下載模型的步驟

> 
> 
> 1. 此示範的第一步是依據此 [安裝指南](https://docs.qualcomm.com/doc/80-62010-1TC/topic/ai_toolkit.html#ai-toolkit) 安裝 Microsoft VS Code AI 工具套件。
>         2. 從篩選的模型目錄中，下載 Phi-4-mini-reasoning-3.8b-qnn 模型。需要 5-10 分鐘，視網路速度而定。
>         3. 從 Microsoft AI 工具套件下載的模型位於以下位置：
> 
> 
> 
> 
> > 
> > 
> > C:\Users\<user>\.aitk\models\Microsoft\Phi-4-mini-reasoning-3.8b-qnn
> >             Copy to clipboard
- **genai\_config.json 檔案是什麼？**

> 
> 
> - ONNX Runtime GenAI 需要 GenAI 組態檔案以載入模型。其定義了整體輸入和輸出、包含模型之特定輸入、輸出和執行提供者的模型管道，以及針對文字取樣指定產生參數（例如 top-k、top-p 和溫度）的搜尋選項。
- **如何配置 genai\_config.json 檔案，以在 ORT-CPU、QNN-CPU、QNN-GPU 和 QNN-HTP 上執行模型？**

> 
> 
> - ORT CPU EP
> 
> 
> 
> > 
> > 
> > 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)
> > 
> > 在此組態中，模型 embeddings.onnx 已定義其輸入和輸出。由於未指定 **「provider\_options」**，因此預設為 ORT CPU Execution Provider。
>     - QNN CPU EP
> 
> 
> 
> > 
> > 
> > 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)
> > 
> > 在此組態中，模型 embeddings.onnx 已定義其輸入和輸出。若想要使用 QNN CPU Execution Provider，請將 **「provider\_options」** 設定為 **「qnn」**，並將 **「backend\_path」** 指定為 QnnCpu.dll。
>     - QNN GPU EP
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)
> > 
> > 在此組態中，模型 embeddings.onnx 已定義其輸入和輸出。若想要使用 QNN GPU Execution Provider，請將 **「provider\_options」** 設定為 **「qnn」**，並將 **「backend\_path」** 指定為 QnnGpu.dll。
>     - QNN HTP EP
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)
> > 
> > 在此組態中，模型 embeddings.onnx\_ctx.onnx 已定義了其輸入和輸出。若想要使用 QNN HTP Execution Provider，請將 **「provider\_options」** 設定為 **「qnn」**，將 **「backend\_path」** 指定為 QnnHTP.dll，並配置 HTP 相關效能設定，例如 **「htp\_performance\_mode」**、**」htp\_graph\_finalization\_optimization\_mode」** 和 **「soc\_model」**。

Last Published: Dec 16, 2025

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