# MLC-LLM

複雑な計算を高速化するには、GPUの活用が不可欠です。特に、機械学習と人工知能の分野においては欠かすことのできない存在です。大規模言語モデルでGPUの性能を最大限に発揮するには、専用のツールが必要です。そこでMLC LLMが活躍します。

## MLC

MLC LLMは、大規模言語モデル向けにカスタマイズされた、高度な機械学習コンパイラーと高性能なデプロイエンジンです。Adreno GPUなどの各種ハードウェア上でモデルのパフォーマンスを最適化し、効率的な推論を実現します。

この例では、[MLCパブリックリポジトリ](https://github.com/mlc-ai/mlc-llm) を使用してHuggingface LLMモデルをコンパイルし、Adreno GPUを使用してWindows on Snapdragon（WoS）デバイス上で推論を高速化する方法について詳しく説明します。MLC LLMは、大規模言語モデルのための機械学習コンパイラーと高性能デプロイエンジンです。チュートリアルでは、[Phi-2モデル](https://huggingface.co/microsoft/phi-2) を使用します。

### セットアップ

PowerShellを管理者モードで開き、以下のコマンドを実行して、依存関係をインストールします。このセットアップはチュートリアルに必要で、約10分かかります。セットアップの詳細については、[mlc_setup.ps1](https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Scripts/mlc_setup.ps1) を参照してください。

1. $DIR\_PATH（デフォルトは `C:\WoS_AI` ）を設定し、ユーザーが好きなパスに変更できるようにします。

$DIR_PATH  = "C:\WoS_AI"
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2. セットアップ・スクリプトをダウンロードするには、以下のコマンドを実行します。すでにダウンロード済みの場合は、このステップを省略できます。

if (!(Test-Path $DIR_PATH\Downloads\Setup_Scripts)) {mkdir $DIR_PATH\Downloads\Setup_Scripts}
        Invoke-WebRequest -O mlc_setup.ps1 https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Scripts/mlc_setup.ps1
        Move-Item -Path ".\mlc_setup.ps1" -Destination $DIR_PATH\Downloads\Setup_Scripts -Force
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3. 以下のコマンドを実行し、MLC LLMの依存関係をインストールします。

    MLC\_LLMのセットアップ：

cd $DIR_PATH
        powershell -command "&{. .\Downloads\Setup_Scripts\mlc_setup.ps1; MLC_LLM_Setup -rootDirPath $DIR_PATH}"
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    以下の依存関係がダウンロードおよびインストールされます。

> 
> 
> - Visual Studio Enterpriseバージョン17.10.3
>     - Minicondaバージョン9.0.0.0
>     - MLCおよびTVM用ホイールファイル
>     - 必要なライブラリを含む仮想環境（MLC\_VENV）を作成
>     - ダウンロードしたホイールファイルをMLC\_VENV環境にインストール
>     - Gitバージョン2.47.0.2
>     - 7-Zipバージョン24.08
>     - GCCバージョン19.0

注釈

システム上でスクリプトの実行ができない場合は、以下のコマンドを入力してから 'A' （すべてはい）を入力します。

Set-ExecutionPolicy RemoteSigned
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4. セットアップが完了すると、$DIR\_PATHは以下のようなフォルダー構成になります。

![../../_images/mlc_dir_structure.png](data:image/png;base64,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)
    - Downloads：このフォルダーには、Pythonインストーラーやセットアップスクリプトなど、セットアップを完了するために必要なすべてのファイルが格納されます。
    - Mlc\_llm：このディレクトリには、コンパイルされたモデルをWoSデバイス上で実行するために必要なbin libファイルが含まれています。
5. PowerShellを再起動してconda関連の変更を適用し、以下のコマンドを実行してインストール状況を確認します。

conda activate MLC_VENV
        python -c "import tvm; print(tvm.__path__)"
        python -c "import mlc_llm; print(mlc_llm.__path__)"
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![../../_images/mlc_installation_check.png](data:image/png;base64,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)

### MLCのチュートリアル

このチュートリアルでは、モデルの重みをMLCシステムと互換性のある形式に変換するプロセスを説明します。MLCフォーマットは、さまざまなハードウェアプラットフォーム上で効率的に実行できるように機械学習モデルを最適化するために設計されています。これには以下のものが含まれます。

1. **構成ファイル** ：これらのファイルは、モデルのアーキテクチャー、使用される量子化スキーム、およびモデルがターゲットハードウェア上で正しく機能するために必要なその他のメタデータの概要を示しています。
2. **モデルの重み** ：これらは大規模言語モデルの学習済みパラメーターです。MLCフォーマットではこれらの重みは量子化されるため、サイズが小さくなり、性能が向上します。
3. **コンパイルされたライブラリ** ：モデルとその構成は、ターゲットハードウェア上でロードして実行できるライブラリにコンパイルされます。

### LLMモデルのコンパイル

1. PowerShellを開き、以下のコマンドを実行して$DIR\_PATHを設定し、conda仮想環境を有効にします。$DIR\_PATHがセットアップ時に使用したものと同じであることを確認してください。

${DIR_PATH} = "C:\WoS_AI"
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conda activate MLC_VENV
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2. 以下のコマンドを実行してPhi-2モデルのクローンを作成し、モデル構成を生成し、モデルの重みを変換し、Adreno GPUハードウェア用にモデルをコンパイルします。

注釈

以下のコマンドでは、$MODEL\_URLと$MODEL\_NAMEは設定可能であり、ユーザーが使用するモデルに応じて変更できます。

cd ${DIR_PATH}/Mlc_llm/bin
        mkdir -p dist/models
        mkdir -p dist/libs
        cd dist/models
        $MODEL_URL = "https://huggingface.co/microsoft/phi-2"
        $MODEL_NAME = "phi-2"
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# clone the model from the URL
        git clone $MODEL_URL
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# model configuration generation
        cd ../../
        python -m mlc_llm gen_config .\dist\models\$MODEL_NAME --quantization q4f16_0 --conv-template $MODEL_NAME --prefill-chunk-size 256 -o .\dist\"$MODEL_NAME"_model_params
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# model weight conversion
        python -m mlc_llm convert_weight .\dist\models\$MODEL_NAME --quantization q4f16_0 -o ./dist/"$MODEL_NAME"_model_params --device llvm
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# model compilation
        python -m mlc_llm compile .\dist\"$MODEL_NAME"_model_params\mlc-chat-config.json --device windows:adreno_x86 -o ./dist/libs/"$MODEL_NAME"-Instruct-hf-q0f16_0-adreno.dll
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### コンパイルされたモデルを実行する

モデルのコンパイルステップが完了すると、Adreno GPU上で推論できるコンパイル済みモデルが完成します。以下のコマンドを実行すると、MLCチャットCLI対話型シェルが起動し、プロンプトの入力を受け付けて出力を生成します。`.\mlc_cli_chat.exe -h` を実行すると、使用可能なオプションをさらに確認できます。

> 
> 
> .\mlc_cli_chat.exe --model .\dist\"$MODEL_NAME"_model_params --model-lib ./dist/libs/"$MODEL_NAME"-Instruct-hf-q0f16_0-adreno.dll --device opencl
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> 
> 
> ![../../_images/mlc_llm_execution.png](data:image/png;base64,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)

### よくある質問

- **MLCはどのLLMモデルをサポートしますか？**

> 
> 
> - サポートされているモデルのリストについては、[MLCモデル](https://mlc.ai/models) を参照してください。

Last Published: Jan 13, 2026

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