Language/07_JapaneseStableLM_Gamma_7B.ipynb

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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/peisuke/generative_ai_notebooks/blob/main/07_JapaneseStableLM_Gamma_7B.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
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      },
      "outputs": [
        {
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          "name": "stdout",
          "text": [
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.35.2)\n",
            "Collecting accelerate\n",
            "  Downloading accelerate-0.25.0-py3-none-any.whl (265 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m265.7/265.7 kB\u001b[0m \u001b[31m4.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting bitsandbytes\n",
            "  Downloading bitsandbytes-0.41.3.post2-py3-none-any.whl (92.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.6/92.6 MB\u001b[0m \u001b[31m20.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting sentencepiece\n",
            "  Downloading sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m85.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: protobuf in /usr/local/lib/python3.10/dist-packages (3.20.3)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.13.1)\n",
            "Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.19.4)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.23.5)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.2)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.6.3)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
            "Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.15.0)\n",
            "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.1)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.1)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n",
            "Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.1.0+cu118)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers) (2023.6.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers) (4.5.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (1.12)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.2.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.2)\n",
            "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.1.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2023.11.17)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.3)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n",
            "Installing collected packages: sentencepiece, bitsandbytes, accelerate\n",
            "Successfully installed accelerate-0.25.0 bitsandbytes-0.41.3.post2 sentencepiece-0.1.99\n"
          ]
        }
      ],
      "source": [
        "!pip install transformers accelerate bitsandbytes sentencepiece protobuf"
      ]
    },
    {
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        "from huggingface_hub import snapshot_download\n",
        "snapshot_download(repo_id=\"stabilityai/japanese-stablelm-instruct-gamma-7b\")"
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            "text/plain": [
              "'/root/.cache/huggingface/hub/models--stabilityai--japanese-stablelm-instruct-gamma-7b/snapshots/044918151c5b3910d12f2e489fb7c60752048e1e'"
            ],
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          "metadata": {},
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    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "from transformers import AutoTokenizer, AutoModelForCausalLM\n",
        "\n",
        "# トークナイザーとモデルの準備\n",
        "tokenizer = AutoTokenizer.from_pretrained(\n",
        "    \"stabilityai/japanese-stablelm-instruct-gamma-7b\"\n",
        ")\n",
        "model = AutoModelForCausalLM.from_pretrained(\n",
        "  \"stabilityai/japanese-stablelm-instruct-gamma-7b\",\n",
        "  torch_dtype=\"auto\",\n",
        "  device_map=\"auto\",\n",
        ")\n",
        "model.eval()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 615,
          "referenced_widgets": [
            "edf723da8c564620a6364653f5a3cf0b",
            "f42c7a91ac7b44f7bc9086c9ba47cb61",
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            "bb6b4a5a7f584ec49abda3fe795828c3",
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            "3c0472fe4ee942a8b1d3ec635e6ff77b",
            "b503d0a1286b42d085ac395dbd4c4939",
            "6ce5820e64784c05b7d84c74807d2d97",
            "48df24b4992b4bdc983a4c5af8807c4a",
            "eb816a127532498db822bdd1d61d58f3",
            "71a7a35343fa4d8a883ca286904871dd",
            "b17b9345222f47b0884622aef6bb6987",
            "9c32f86e67a14a259febe6a712fd5c4e",
            "74ad23f62b9b4a268ea19d7225555c72",
            "8a3559ceb1e044d09b1c59f17d41ae5e",
            "6b1db75a749940d4b9c65bf277fce933",
            "aaa639c93ae0447586fbcd0aa9831418"
          ]
        },
        "id": "12rZD2rXYkTZ",
        "outputId": "911af273-b8fd-47c2-b653-714ec4661004"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "0it [00:00, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "edf723da8c564620a6364653f5a3cf0b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "b503d0a1286b42d085ac395dbd4c4939"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:root:Some parameters are on the meta device device because they were offloaded to the cpu.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "MistralForCausalLM(\n",
              "  (model): MistralModel(\n",
              "    (embed_tokens): Embedding(32000, 4096)\n",
              "    (layers): ModuleList(\n",
              "      (0-31): 32 x MistralDecoderLayer(\n",
              "        (self_attn): MistralAttention(\n",
              "          (q_proj): Linear(in_features=4096, out_features=4096, bias=False)\n",
              "          (k_proj): Linear(in_features=4096, out_features=1024, bias=False)\n",
              "          (v_proj): Linear(in_features=4096, out_features=1024, bias=False)\n",
              "          (o_proj): Linear(in_features=4096, out_features=4096, bias=False)\n",
              "          (rotary_emb): MistralRotaryEmbedding()\n",
              "        )\n",
              "        (mlp): MistralMLP(\n",
              "          (gate_proj): Linear(in_features=4096, out_features=14336, bias=False)\n",
              "          (up_proj): Linear(in_features=4096, out_features=14336, bias=False)\n",
              "          (down_proj): Linear(in_features=14336, out_features=4096, bias=False)\n",
              "          (act_fn): SiLUActivation()\n",
              "        )\n",
              "        (input_layernorm): MistralRMSNorm()\n",
              "        (post_attention_layernorm): MistralRMSNorm()\n",
              "      )\n",
              "    )\n",
              "    (norm): MistralRMSNorm()\n",
              "  )\n",
              "  (lm_head): Linear(in_features=4096, out_features=32000, bias=False)\n",
              ")"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# プロンプトの準備\n",
        "prompt = \"\"\"以下の質問に対し、回答を書きなさい。\n",
        "\n",
        "### 質問:\n",
        "機械学習って何？\n",
        "\n",
        "### 回答: \"\"\""
      ],
      "metadata": {
        "id": "bvLTqKjTY0bk"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 推論の実行\n",
        "token_ids = tokenizer.encode(\n",
        "    prompt,\n",
        "    add_special_tokens=False,\n",
        "    return_tensors=\"pt\"\n",
        ")\n",
        "output_ids = model.generate(\n",
        "    token_ids.to(device=model.device),\n",
        "    max_new_tokens=128,\n",
        "    temperature=0.99,\n",
        "    top_p=0.95,\n",
        "    do_sample=True,\n",
        ")\n",
        "output = tokenizer.decode(\n",
        "    output_ids[0][token_ids.size(1) :],\n",
        "    skip_special_tokens=True\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DdBX__eOY5im",
        "outputId": "d20c8ede-56ef-477d-a2c3-33a237628886"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n",
            "Setting `pad_token_id` to `eos_token_id`:2 for open-end generation.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(output)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "m4bs2lRcY73o",
        "outputId": "505b1493-8c75-4710-cd0e-a47092aafff0"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "機械学習は、システムにデータを提示することで、そのシステムを訓練し、より良い予測やクラスタリング、レコメンデーションを実行できるようにする取り組みです。一般的に機械学習システムでは、学習アルゴリズムが、提示された入力と正解に関\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "f4b_RL1DY8dy"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}