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uchidama/google-gemma-7b-it-test.ipynb Secret

Created February 22, 2024 05:36
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google-gemma-7b-it-test.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/uchidama/31894e029c42f1733a750310495ec2bd/google-gemma-7b-it-test.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "lmu3p5I1I2ch"
},
"source": [
"Google Colab で Gemma を試す<br />\n",
"https://note.com/npaka/n/n17170439fe62\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Q8fmSADfEtaa",
"outputId": "14a185e6-4b85-4ad0-e684-52501c18332f"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.37.2)\n",
"Collecting transformers\n",
" Downloading transformers-4.38.1-py3-none-any.whl (8.5 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.5/8.5 MB\u001b[0m \u001b[31m71.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.13.1)\n",
"Requirement already satisfied: huggingface-hub<1.0,>=0.19.3 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.20.3)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.25.2)\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) (2023.12.25)\n",
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"Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.2)\n",
"Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.2)\n",
"Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.19.3->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,>=0.19.3->transformers) (4.9.0)\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) (2024.2.2)\n",
"Installing collected packages: transformers\n",
" Attempting uninstall: transformers\n",
" Found existing installation: transformers 4.37.2\n",
" Uninstalling transformers-4.37.2:\n",
" Successfully uninstalled transformers-4.37.2\n",
"Successfully installed transformers-4.38.1\n",
"Collecting accelerate\n",
" Downloading accelerate-0.27.2-py3-none-any.whl (279 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m280.0/280.0 kB\u001b[0m \u001b[31m5.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.25.2)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (23.2)\n",
"Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n",
"Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from accelerate) (6.0.1)\n",
"Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.1.0+cu121)\n",
"Requirement already satisfied: huggingface-hub in /usr/local/lib/python3.10/dist-packages (from accelerate) (0.20.3)\n",
"Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from accelerate) (0.4.2)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.13.1)\n",
"Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (4.9.0)\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) (3.1.3)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2023.6.0)\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: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (2.31.0)\n",
"Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (4.66.2)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.5)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.6)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2024.2.2)\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: accelerate\n",
"Successfully installed accelerate-0.27.2\n"
]
}
],
"source": [
"# パッケージのインストール\n",
"!pip install -U transformers\n",
"!pip install accelerate"
]
},
{
"cell_type": "code",
"execution_count": 2,
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"colab": {
"base_uri": "https://localhost:8080/",
"height": 450,
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"text": [
"WARNING:root:Some parameters are on the meta device device because they were offloaded to the cpu.\n"
]
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],
"source": [
"from transformers import AutoTokenizer, AutoModelForCausalLM\n",
"import torch\n",
"\n",
"# トークナイザーとモデルの準備\n",
"tokenizer = AutoTokenizer.from_pretrained(\n",
" \"google/gemma-7b-it\"\n",
")\n",
"model = AutoModelForCausalLM.from_pretrained(\n",
" \"google/gemma-7b-it\",\n",
" device_map=\"auto\",\n",
" torch_dtype=torch.float16\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "TNYu25aeIsWD",
"outputId": "c6e3959e-76d5-43d0-aea7-5fffb0301e7f"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<bos><start_of_turn>user\n",
"坂本龍馬とはどういう人物ですか？<end_of_turn>\n",
"<start_of_turn>model\n",
"坂本龍馬は、幕末期に活躍した日本の剣術家です。彼は、「最後のサムライ」とも呼ばれ 、明治時代以降もその名を継ぎ続けられた伝説的なヒーローでした. \n",
"\n",
"彼の主な特徴は以下の通り です:\n",
"\n",
"\n",
"* **圧倒的戦闘力:** 龍馬の戦力は非常に強かったことで有名でし, 武蔵県での決闘において多くの敵を斬り落としたとされています． この戦いにおける勇猛さから「最後の一号」「最強の人間`]と呼ばれることもあります . \n",
"\n",
"\n",
"\n",
" ***強い精神**: 東部への移動や軍隊入隊など困難な\n"
]
}
],
"source": [
"# プロンプトの準備\n",
"chat = [\n",
" { \"role\": \"user\", \"content\": \"坂本龍馬とはどういう人物ですか？\" },\n",
"]\n",
"prompt = tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)\n",
"\n",
"# 推論の実行\n",
"input_ids = tokenizer(prompt, return_tensors=\"pt\").to(model.device)\n",
"outputs = model.generate(\n",
" **input_ids,\n",
" max_new_tokens=128,\n",
" do_sample=True,\n",
" top_p=0.95,\n",
" temperature=0.7,\n",
" repetition_penalty=1.1,\n",
")\n",
"print(tokenizer.decode(outputs[0]))"
]
}
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