Created
October 22, 2024 04:03
-
-
Save tanukon/8a4a7fe084e8b338636cd9af1b043bc1 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 20, | |
| "id": "9650796f-61c0-475d-acd2-cf6da3c08166", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import os\n", | |
| "import json\n", | |
| "import pandas as pd\n", | |
| "import numpy as np\n", | |
| "\n", | |
| "from huggingface_hub import snapshot_download\n", | |
| "from pathlib import Path\n", | |
| "from datasets import load_dataset\n", | |
| "\n", | |
| "import torch\n", | |
| "from mistral_inference.transformer import Transformer\n", | |
| "from mistral_inference.generate import generate\n", | |
| "\n", | |
| "from mistral_common.tokens.tokenizers.mistral import MistralTokenizer\n", | |
| "from mistral_common.protocol.instruct.messages import UserMessage, TextChunk, ImageURLChunk, ImageChunk\n", | |
| "from mistral_common.protocol.instruct.request import ChatCompletionRequest\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "d9b7ebc0-5320-4435-ba7b-c9040504afb0", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/opt/conda/envs/mistral/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", | |
| " from .autonotebook import tqdm as notebook_tqdm\n", | |
| "Fetching 3 files: 100%|██████████| 3/3 [00:00<00:00, 97.50it/s]\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "'/home/jupyter/mistral_models/Pixtral'" | |
| ] | |
| }, | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# download the model \n", | |
| "mistral_models_path = Path.home().joinpath('mistral_models', 'Pixtral')\n", | |
| "mistral_models_path.mkdir(parents=True, exist_ok=True)\n", | |
| "\n", | |
| "snapshot_download(repo_id=\"mistralai/Pixtral-12B-2409\", allow_patterns=[\"params.json\", \"consolidated.safetensors\", \"tekken.json\"], local_dir=mistral_models_path)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "43708b35-cf7a-4b22-8e7d-bd92d6a9c14a", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# load the model\n", | |
| "tokenizer = MistralTokenizer.from_file(f\"{mistral_models_path}/tekken.json\")\n", | |
| "model = Transformer.from_folder(mistral_models_path)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "id": "20e89528-00e1-4e62-acf0-021bc338e1bc", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "Generating eval split: 100%|██████████| 92/92 [00:00<00:00, 595.17 examples/s]\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# load the dataset\n", | |
| "ds = load_dataset(\"mistralai/MM-MT-Bench\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "id": "ba857dab-3cc4-43b6-8517-e6a59e8d1c37", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "length = len(ds['eval'])\n", | |
| "random_index = list(np.random.choice(length, 5))\n", | |
| "result_list = []" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 18, | |
| "id": "c77faf6f-71c5-453c-909e-3a8175a821dd", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "72 pdf_pages\n", | |
| "84 misc\n", | |
| "26 diagrams\n", | |
| "50 tables\n", | |
| "66 pdf_pages\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "for i in random_index:\n", | |
| " # extract an image\n", | |
| " image = ds['eval']['image'][i]\n", | |
| "\n", | |
| " # extract a prompt\n", | |
| " data = json.loads(ds['eval']['conversation'][i])\n", | |
| " prompt = data[0]['content'][1]['text']\n", | |
| "\n", | |
| " # extract a category\n", | |
| " category = ds['eval']['category'][i]\n", | |
| " \n", | |
| " # prepare an input \n", | |
| " completion_request = ChatCompletionRequest(messages=[UserMessage(content=[ImageChunk(image=image), TextChunk(text=prompt)])])\n", | |
| "\n", | |
| " # encode an input using tokenizer\n", | |
| " encoded = tokenizer.encode_chat_completion(completion_request)\n", | |
| " images = encoded.images # (3, 688, 1024)\n", | |
| " tokens = encoded.tokens\n", | |
| " \n", | |
| " # inference using Pixtral 12B\n", | |
| " out_tokens, _ = generate([tokens], model, images=[images], max_tokens=256, temperature=0.35, eos_id=tokenizer.instruct_tokenizer.tokenizer.eos_id)\n", | |
| " result = tokenizer.decode(out_tokens[0])\n", | |
| " \n", | |
| " result_list.append([i, category, result])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 25, | |
| "id": "c7355816-4063-4704-ab6d-7f5f35d0020d", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>index</th>\n", | |
| " <th>category</th>\n", | |
| " <th>result</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>72</td>\n", | |
| " <td>pdf_pages</td>\n", | |
| " <td>The proof of Theorem 12.7 is divided into thre...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>84</td>\n", | |
| " <td>misc</td>\n", | |
| " <td>The image shows two different backpacks: a yel...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>26</td>\n", | |
| " <td>diagrams</td>\n", | |
| " <td>The diagram provides an overview of a system d...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>50</td>\n", | |
| " <td>tables</td>\n", | |
| " <td>The table titled '2019 Women's World Cup Predi...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>66</td>\n", | |
| " <td>pdf_pages</td>\n", | |
| " <td>The document is an excerpt from Django's docum...</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " index category result\n", | |
| "0 72 pdf_pages The proof of Theorem 12.7 is divided into thre...\n", | |
| "1 84 misc The image shows two different backpacks: a yel...\n", | |
| "2 26 diagrams The diagram provides an overview of a system d...\n", | |
| "3 50 tables The table titled '2019 Women's World Cup Predi...\n", | |
| "4 66 pdf_pages The document is an excerpt from Django's docum..." | |
| ] | |
| }, | |
| "execution_count": 25, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df = pd.DataFrame.from_dict(result_list)\n", | |
| "df = df.rename(columns={0: 'index', 1: 'category', 2:'result'})\n", | |
| "df.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 26, | |
| "id": "bd75b106-ec1f-4992-b2d3-fad2c1089255", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "df.to_csv('results.csv', index=None)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 36, | |
| "id": "f46c4910-a4a6-49c7-b706-b976f9777ad8", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "i = 66" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 37, | |
| "id": "8d7b28cd-282f-4859-bfe6-8e18295b1d80", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": "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", | |
| "text/plain": [ | |
| "<Figure size 640x480 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "import cv2\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "\n", | |
| "img = np.array(ds['eval']['image'][i])\n", | |
| "plt.imshow(img)\n", | |
| "plt.axis('off')\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 38, | |
| "id": "0a85a7d1-6c8a-4fcf-82bf-4686fc517dec", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "What are the main points discussed in this doc?\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# extract a prompt\n", | |
| "data = json.loads(ds['eval']['conversation'][i])\n", | |
| "prompt = data[0]['content'][1]['text']\n", | |
| "print(prompt)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "id": "39ee77da-f413-4ef0-aace-4c92c3c0bde9", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "environment": { | |
| "kernel": "mistral", | |
| "name": ".m125", | |
| "type": "gcloud", | |
| "uri": "us-docker.pkg.dev/deeplearning-platform-release/gcr.io/:m125" | |
| }, | |
| "kernelspec": { | |
| "display_name": "mistral (Local)", | |
| "language": "python", | |
| "name": "mistral" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.11.10" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment