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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"machine_shape": "hm",
"gpuType": "L4",
"authorship_tag": "ABX9TyOkGQh7maXiQhQ6pYoY2NaU",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/louisoutin/dots.ocr/blob/master/dots_ocr.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"# DotsOCR vLLM Openai API Compatible server"
],
"metadata": {
"id": "PshK9ZarVTfM"
}
},
{
"cell_type": "code",
"source": [
"!pip install pyngrok\n",
"!ngrok authtoken # Get this from https://dashboard.ngrok.com/"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "oyY3E3mlOXNX",
"outputId": "8d7ba92f-7170-4b2e-e8a0-c7f94096f7e0"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Requirement already satisfied: pyngrok in /usr/local/lib/python3.11/dist-packages (7.3.0)\n",
"Requirement already satisfied: PyYAML>=5.1 in /usr/local/lib/python3.11/dist-packages (from pyngrok) (6.0.2)\n",
"Authtoken saved to configuration file: /root/.config/ngrok/ngrok.yml\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!conda create -n dots_ocr python=3.12\n",
"!conda activate dots_ocr\n",
"\n",
"!git clone https://github.com/rednote-hilab/dots.ocr.git"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "BcV7hkvuRnwS",
"outputId": "7cb9c743-6f41-4c90-a05b-90bce2c29ced"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"/bin/bash: line 1: conda: command not found\n",
"/bin/bash: line 1: conda: command not found\n",
"Cloning into 'dots.ocr'...\n",
"remote: Enumerating objects: 163, done.\u001b[K\n",
"remote: Counting objects: 100% (51/51), done.\u001b[K\n",
"remote: Compressing objects: 100% (31/31), done.\u001b[K\n",
"remote: Total 163 (delta 30), reused 30 (delta 20), pack-reused 112 (from 1)\u001b[K\n",
"Receiving objects: 100% (163/163), 35.82 MiB | 13.64 MiB/s, done.\n",
"Resolving deltas: 100% (56/56), done.\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"cd /content/dots.ocr"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Rsc_MkGfRpit",
"outputId": "5265315f-c27c-4346-cda7-aba7d4c226d6"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"/content/dots.ocr\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Install pytorch, see https://pytorch.org/get-started/previous-versions/ for your cuda version\n",
"!pip install torch==2.7.0 torchvision==0.22.0 torchaudio==2.7.0 --index-url https://download.pytorch.org/whl/cu128\n",
"!pip install -e ."
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "OxLaSyTJPFwk",
"outputId": "a073dcdd-5e5d-4f62-d3b9-be9e9cf98d2f"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Looking in indexes: https://download.pytorch.org/whl/cu128\n",
"Requirement already satisfied: torch==2.7.0 in /usr/local/lib/python3.11/dist-packages (2.7.0+cu128)\n",
"Requirement already satisfied: torchvision==0.22.0 in /usr/local/lib/python3.11/dist-packages (0.22.0+cu128)\n",
"Requirement already satisfied: torchaudio==2.7.0 in /usr/local/lib/python3.11/dist-packages (2.7.0+cu128)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (3.18.0)\n",
"Requirement already satisfied: typing-extensions>=4.10.0 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (4.14.1)\n",
"Requirement already satisfied: sympy>=1.13.3 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (1.13.3)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (3.5)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (3.1.6)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (2025.3.0)\n",
"Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.8.61 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (12.8.61)\n",
"Requirement already satisfied: nvidia-cuda-runtime-cu12==12.8.57 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (12.8.57)\n",
"Requirement already satisfied: nvidia-cuda-cupti-cu12==12.8.57 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (12.8.57)\n",
"Requirement already satisfied: nvidia-cudnn-cu12==9.7.1.26 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (9.7.1.26)\n",
"Requirement already satisfied: nvidia-cublas-cu12==12.8.3.14 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (12.8.3.14)\n",
"Requirement already satisfied: nvidia-cufft-cu12==11.3.3.41 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (11.3.3.41)\n",
"Requirement already satisfied: nvidia-curand-cu12==10.3.9.55 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (10.3.9.55)\n",
"Requirement already satisfied: nvidia-cusolver-cu12==11.7.2.55 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (11.7.2.55)\n",
"Requirement already satisfied: nvidia-cusparse-cu12==12.5.7.53 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (12.5.7.53)\n",
"Requirement already satisfied: nvidia-cusparselt-cu12==0.6.3 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (0.6.3)\n",
"Requirement already satisfied: nvidia-nccl-cu12==2.26.2 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (2.26.2)\n",
"Requirement already satisfied: nvidia-nvtx-cu12==12.8.55 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (12.8.55)\n",
"Requirement already satisfied: nvidia-nvjitlink-cu12==12.8.61 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (12.8.61)\n",
"Requirement already satisfied: nvidia-cufile-cu12==1.13.0.11 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (1.13.0.11)\n",
"Requirement already satisfied: triton==3.3.0 in /usr/local/lib/python3.11/dist-packages (from torch==2.7.0) (3.3.0)\n",
"Requirement already satisfied: numpy in /usr/local/lib/python3.11/dist-packages (from torchvision==0.22.0) (2.0.2)\n",
"Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.11/dist-packages (from torchvision==0.22.0) (11.3.0)\n",
"Requirement already satisfied: setuptools>=40.8.0 in /usr/local/lib/python3.11/dist-packages (from triton==3.3.0->torch==2.7.0) (75.2.0)\n",
"Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.11/dist-packages (from sympy>=1.13.3->torch==2.7.0) (1.3.0)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.11/dist-packages (from jinja2->torch==2.7.0) (3.0.2)\n",
"Obtaining file:///content/dots.ocr\n",
" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: gradio in /usr/local/lib/python3.11/dist-packages (from dots_ocr==1.0) (5.39.0)\n",
"Collecting gradio_image_annotation (from dots_ocr==1.0)\n",
" Downloading gradio_image_annotation-0.4.0-py3-none-any.whl.metadata (17 kB)\n",
"Collecting PyMuPDF (from dots_ocr==1.0)\n",
" Downloading pymupdf-1.26.3-cp39-abi3-manylinux_2_28_x86_64.whl.metadata (3.4 kB)\n",
"Requirement already satisfied: openai in /usr/local/lib/python3.11/dist-packages (from dots_ocr==1.0) (1.98.0)\n",
"Collecting qwen_vl_utils (from dots_ocr==1.0)\n",
" Downloading qwen_vl_utils-0.0.11-py3-none-any.whl.metadata (6.3 kB)\n",
"Collecting transformers==4.51.3 (from dots_ocr==1.0)\n",
" Downloading transformers-4.51.3-py3-none-any.whl.metadata (38 kB)\n",
"Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.11/dist-packages (from dots_ocr==1.0) (0.34.3)\n",
"Collecting modelscope (from dots_ocr==1.0)\n",
" Downloading modelscope-1.28.2-py3-none-any.whl.metadata (39 kB)\n",
"Collecting flash-attn==2.8.0.post2 (from dots_ocr==1.0)\n",
" Downloading flash_attn-2.8.0.post2.tar.gz (7.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.9/7.9 MB\u001b[0m \u001b[31m124.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: accelerate in /usr/local/lib/python3.11/dist-packages (from dots_ocr==1.0) (1.9.0)\n",
"Requirement already satisfied: torch in /usr/local/lib/python3.11/dist-packages (from flash-attn==2.8.0.post2->dots_ocr==1.0) (2.7.0+cu128)\n",
"Requirement already satisfied: einops in /usr/local/lib/python3.11/dist-packages (from flash-attn==2.8.0.post2->dots_ocr==1.0) (0.8.1)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from transformers==4.51.3->dots_ocr==1.0) (3.18.0)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.11/dist-packages (from transformers==4.51.3->dots_ocr==1.0) (2.0.2)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.11/dist-packages (from transformers==4.51.3->dots_ocr==1.0) (25.0)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.11/dist-packages (from transformers==4.51.3->dots_ocr==1.0) (6.0.2)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.11/dist-packages (from transformers==4.51.3->dots_ocr==1.0) (2024.11.6)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from transformers==4.51.3->dots_ocr==1.0) (2.32.3)\n",
"Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.11/dist-packages (from transformers==4.51.3->dots_ocr==1.0) (0.21.4)\n",
"Requirement already satisfied: safetensors>=0.4.3 in /usr/local/lib/python3.11/dist-packages (from transformers==4.51.3->dots_ocr==1.0) (0.5.3)\n",
"Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.11/dist-packages (from transformers==4.51.3->dots_ocr==1.0) (4.67.1)\n",
"Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub->dots_ocr==1.0) (2025.3.0)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub->dots_ocr==1.0) (4.14.1)\n",
"Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub->dots_ocr==1.0) (1.1.5)\n",
"Requirement already satisfied: psutil in /usr/local/lib/python3.11/dist-packages (from accelerate->dots_ocr==1.0) (5.9.5)\n",
"Requirement already satisfied: aiofiles<25.0,>=22.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (24.1.0)\n",
"Requirement already satisfied: anyio<5.0,>=3.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (4.10.0)\n",
"Requirement already satisfied: brotli>=1.1.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (1.1.0)\n",
"Requirement already satisfied: fastapi<1.0,>=0.115.2 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (0.116.1)\n",
"Requirement already satisfied: ffmpy in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (0.6.1)\n",
"Requirement already satisfied: gradio-client==1.11.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (1.11.0)\n",
"Requirement already satisfied: groovy~=0.1 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (0.1.2)\n",
"Requirement already satisfied: httpx<1.0,>=0.24.1 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (0.28.1)\n",
"Requirement already satisfied: jinja2<4.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (3.1.6)\n",
"Requirement already satisfied: markupsafe<4.0,>=2.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (3.0.2)\n",
"Requirement already satisfied: orjson~=3.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (3.11.1)\n",
"Requirement already satisfied: pandas<3.0,>=1.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (2.2.2)\n",
"Requirement already satisfied: pillow<12.0,>=8.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (11.3.0)\n",
"Requirement already satisfied: pydantic<2.12,>=2.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (2.11.7)\n",
"Requirement already satisfied: pydub in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (0.25.1)\n",
"Requirement already satisfied: python-multipart>=0.0.18 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (0.0.20)\n",
"Requirement already satisfied: ruff>=0.9.3 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (0.12.7)\n",
"Requirement already satisfied: safehttpx<0.2.0,>=0.1.6 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (0.1.6)\n",
"Requirement already satisfied: semantic-version~=2.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (2.10.0)\n",
"Requirement already satisfied: starlette<1.0,>=0.40.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (0.47.2)\n",
"Requirement already satisfied: tomlkit<0.14.0,>=0.12.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (0.13.3)\n",
"Requirement already satisfied: typer<1.0,>=0.12 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (0.16.0)\n",
"Requirement already satisfied: uvicorn>=0.14.0 in /usr/local/lib/python3.11/dist-packages (from gradio->dots_ocr==1.0) (0.35.0)\n",
"Requirement already satisfied: websockets<16.0,>=10.0 in /usr/local/lib/python3.11/dist-packages (from gradio-client==1.11.0->gradio->dots_ocr==1.0) (15.0.1)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.11/dist-packages (from modelscope->dots_ocr==1.0) (75.2.0)\n",
"Requirement already satisfied: urllib3>=1.26 in /usr/local/lib/python3.11/dist-packages (from modelscope->dots_ocr==1.0) (2.5.0)\n",
"Requirement already satisfied: distro<2,>=1.7.0 in /usr/local/lib/python3.11/dist-packages (from openai->dots_ocr==1.0) (1.9.0)\n",
"Requirement already satisfied: jiter<1,>=0.4.0 in /usr/local/lib/python3.11/dist-packages (from openai->dots_ocr==1.0) (0.10.0)\n",
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"Collecting av (from qwen_vl_utils->dots_ocr==1.0)\n",
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]
}
]
},
{
"cell_type": "code",
"source": [
"!python3 tools/download_model.py"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "z0nKSOYsRaA2",
"outputId": "e4d67ed5-0cb9-437a-abec-5514f7bb8ccc"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Attention: The model save dir dots.ocr should be replace by a name without `.` like DotsOCR, util we merge our code to transformers.\n",
"/usr/local/lib/python3.11/dist-packages/huggingface_hub/file_download.py:945: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
" warnings.warn(\n",
"/usr/local/lib/python3.11/dist-packages/huggingface_hub/file_download.py:982: UserWarning: `local_dir_use_symlinks` parameter is deprecated and will be ignored. The process to download files to a local folder has been updated and do not rely on symlinks anymore. You only need to pass a destination folder as`local_dir`.\n",
"For more details, check out https://huggingface.co/docs/huggingface_hub/main/en/guides/download#download-files-to-local-folder.\n",
" warnings.warn(\n",
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"model downloaded to /content/dots.ocr/weights/DotsOCR\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"import os\n",
"from pathlib import Path\n",
"\n",
"# Set up model path (using a directory in Colab's temporary storage)\n",
"hf_model_path = \"./weights/DotsOCR\"\n",
"os.environ[\"hf_model_path\"] = hf_model_path\n",
"\n",
"# Create directory if it doesn't exist\n",
"Path(hf_model_path).mkdir(parents=True, exist_ok=True)\n",
"\n",
"# Add to PYTHONPATH\n",
"os.environ[\"PYTHONPATH\"] = f\"{os.path.dirname(hf_model_path)}:{os.environ.get('PYTHONPATH', '')}\"\n",
"\n",
"# Install required packages\n",
"!pip install vllm transformers\n",
"\n",
"# Modify vllm import (this is a workaround - may need adjustment based on vllm version)\n",
"try:\n",
" vllm_path = !which vllm\n",
" if vllm_path:\n",
" vllm_path = vllm_path[0]\n",
" !sed -i '/^from vllm\\.entrypoints\\.cli\\.main import main$/a from DotsOCR import modeling_dots_ocr_vllm' {vllm_path}\n",
"except:\n",
" print(\"Could not automatically modify vllm imports. You may need to do this manually.\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "m1eyfkYlTGTs",
"outputId": "04548a02-fc8c-4891-8b95-0fad33f0f20e"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
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"\u001b[?25hDownloading rignore-0.6.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (950 kB)\n",
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"\u001b[?25hInstalling collected packages: blake3, uvloop, triton, rignore, python-json-logger, python-dotenv, pycountry, pybase64, partial-json-parser, outlines_core, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, ninja, msgspec, llvmlite, llguidance, lark, interegular, httptools, gguf, dnspython, diskcache, cbor2, astor, watchfiles, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, numba, email-validator, depyf, rich-toolkit, pydantic-extra-types, prometheus-fastapi-instrumentator, openai, nvidia-cusolver-cu12, lm-format-enforcer, transformers, torch, ray, fastapi-cloud-cli, fastapi-cli, xgrammar, xformers, torchvision, torchaudio, mistral_common, compressed-tensors, vllm\n",
" Attempting uninstall: triton\n",
" Found existing installation: triton 3.3.0\n",
" Uninstalling triton-3.3.0:\n",
" Successfully uninstalled triton-3.3.0\n",
" Attempting uninstall: nvidia-nvtx-cu12\n",
" Found existing installation: nvidia-nvtx-cu12 12.8.55\n",
" Uninstalling nvidia-nvtx-cu12-12.8.55:\n",
" Successfully uninstalled nvidia-nvtx-cu12-12.8.55\n",
" Attempting uninstall: nvidia-nvjitlink-cu12\n",
" Found existing installation: nvidia-nvjitlink-cu12 12.8.61\n",
" Uninstalling nvidia-nvjitlink-cu12-12.8.61:\n",
" Successfully uninstalled nvidia-nvjitlink-cu12-12.8.61\n",
" Attempting uninstall: nvidia-curand-cu12\n",
" Found existing installation: nvidia-curand-cu12 10.3.9.55\n",
" Uninstalling nvidia-curand-cu12-10.3.9.55:\n",
" Successfully uninstalled nvidia-curand-cu12-10.3.9.55\n",
" Attempting uninstall: nvidia-cufile-cu12\n",
" Found existing installation: nvidia-cufile-cu12 1.13.0.11\n",
" Uninstalling nvidia-cufile-cu12-1.13.0.11:\n",
" Successfully uninstalled nvidia-cufile-cu12-1.13.0.11\n",
" Attempting uninstall: nvidia-cuda-runtime-cu12\n",
" Found existing installation: nvidia-cuda-runtime-cu12 12.8.57\n",
" Uninstalling nvidia-cuda-runtime-cu12-12.8.57:\n",
" Successfully uninstalled nvidia-cuda-runtime-cu12-12.8.57\n",
" Attempting uninstall: nvidia-cuda-nvrtc-cu12\n",
" Found existing installation: nvidia-cuda-nvrtc-cu12 12.8.61\n",
" Uninstalling nvidia-cuda-nvrtc-cu12-12.8.61:\n",
" Successfully uninstalled nvidia-cuda-nvrtc-cu12-12.8.61\n",
" Attempting uninstall: nvidia-cuda-cupti-cu12\n",
" Found existing installation: nvidia-cuda-cupti-cu12 12.8.57\n",
" Uninstalling nvidia-cuda-cupti-cu12-12.8.57:\n",
" Successfully uninstalled nvidia-cuda-cupti-cu12-12.8.57\n",
" Attempting uninstall: nvidia-cublas-cu12\n",
" Found existing installation: nvidia-cublas-cu12 12.8.3.14\n",
" Uninstalling nvidia-cublas-cu12-12.8.3.14:\n",
" Successfully uninstalled nvidia-cublas-cu12-12.8.3.14\n",
" Attempting uninstall: llvmlite\n",
" Found existing installation: llvmlite 0.43.0\n",
" Uninstalling llvmlite-0.43.0:\n",
" Successfully uninstalled llvmlite-0.43.0\n",
" Attempting uninstall: nvidia-cusparse-cu12\n",
" Found existing installation: nvidia-cusparse-cu12 12.5.7.53\n",
" Uninstalling nvidia-cusparse-cu12-12.5.7.53:\n",
" Successfully uninstalled nvidia-cusparse-cu12-12.5.7.53\n",
" Attempting uninstall: nvidia-cufft-cu12\n",
" Found existing installation: nvidia-cufft-cu12 11.3.3.41\n",
" Uninstalling nvidia-cufft-cu12-11.3.3.41:\n",
" Successfully uninstalled nvidia-cufft-cu12-11.3.3.41\n",
" Attempting uninstall: nvidia-cudnn-cu12\n",
" Found existing installation: nvidia-cudnn-cu12 9.7.1.26\n",
" Uninstalling nvidia-cudnn-cu12-9.7.1.26:\n",
" Successfully uninstalled nvidia-cudnn-cu12-9.7.1.26\n",
" Attempting uninstall: numba\n",
" Found existing installation: numba 0.60.0\n",
" Uninstalling numba-0.60.0:\n",
" Successfully uninstalled numba-0.60.0\n",
" Attempting uninstall: openai\n",
" Found existing installation: openai 1.98.0\n",
" Uninstalling openai-1.98.0:\n",
" Successfully uninstalled openai-1.98.0\n",
" Attempting uninstall: nvidia-cusolver-cu12\n",
" Found existing installation: nvidia-cusolver-cu12 11.7.2.55\n",
" Uninstalling nvidia-cusolver-cu12-11.7.2.55:\n",
" Successfully uninstalled nvidia-cusolver-cu12-11.7.2.55\n",
" Attempting uninstall: transformers\n",
" Found existing installation: transformers 4.51.3\n",
" Uninstalling transformers-4.51.3:\n",
" Successfully uninstalled transformers-4.51.3\n",
" Attempting uninstall: torch\n",
" Found existing installation: torch 2.7.0+cu128\n",
" Uninstalling torch-2.7.0+cu128:\n",
" Successfully uninstalled torch-2.7.0+cu128\n",
" Attempting uninstall: torchvision\n",
" Found existing installation: torchvision 0.22.0+cu128\n",
" Uninstalling torchvision-0.22.0+cu128:\n",
" Successfully uninstalled torchvision-0.22.0+cu128\n",
" Attempting uninstall: torchaudio\n",
" Found existing installation: torchaudio 2.7.0+cu128\n",
" Uninstalling torchaudio-2.7.0+cu128:\n",
" Successfully uninstalled torchaudio-2.7.0+cu128\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"fastai 2.7.19 requires torch<2.7,>=1.10, but you have torch 2.7.1 which is incompatible.\n",
"dots-ocr 1.0 requires transformers==4.51.3, but you have transformers 4.55.0 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed astor-0.8.1 blake3-1.0.5 cbor2-5.6.5 compressed-tensors-0.10.2 depyf-0.19.0 diskcache-5.6.3 dnspython-2.7.0 email-validator-2.2.0 fastapi-cli-0.0.8 fastapi-cloud-cli-0.1.5 gguf-0.17.1 httptools-0.6.4 interegular-0.3.3 lark-1.2.2 llguidance-0.7.30 llvmlite-0.44.0 lm-format-enforcer-0.10.12 mistral_common-1.8.3 msgspec-0.19.0 ninja-1.11.1.4 numba-0.61.2 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 openai-1.90.0 outlines_core-0.2.10 partial-json-parser-0.2.1.1.post6 prometheus-fastapi-instrumentator-7.1.0 pybase64-1.4.2 pycountry-24.6.1 pydantic-extra-types-2.10.5 python-dotenv-1.1.1 python-json-logger-3.3.0 ray-2.48.0 rich-toolkit-0.14.9 rignore-0.6.4 torch-2.7.1 torchaudio-2.7.1 torchvision-0.22.1 transformers-4.55.0 triton-3.3.1 uvloop-0.21.0 vllm-0.10.0 watchfiles-1.1.0 xformers-0.0.31 xgrammar-0.1.21\n",
"nohup: failed to run command 'CUDA_VISIBLE_DEVICES=0': No such file or directory\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"from pyngrok import ngrok\n",
"public_url = ngrok.connect(8000, bind_tls=True) # Adjust port if needed\n",
"print(\"Public URL:\", public_url)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "iNPRVOjmUxJb",
"outputId": "66388365-796e-4489-9285-17ad6ccad0ed"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Public URL: NgrokTunnel: \"https://988ecbb0776c.ngrok-free.app\" -> \"http://localhost:8000\"\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!CUDA_VISIBLE_DEVICES=0 vllm serve ./weights/DotsOCR --tensor-parallel-size 1 --gpu-memory-utilization 0.95 --chat-template-content-format string --served-model-name model --trust-remote-code"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "QbYEd_foT2QY",
"outputId": "6c980927-042e-498a-e013-a575d4cf5132"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"2025-08-07 20:57:52.107021: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
"2025-08-07 20:57:52.125111: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
"E0000 00:00:1754600272.146783 10516 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
"E0000 00:00:1754600272.153513 10516 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
"W0000 00:00:1754600272.170115 10516 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"W0000 00:00:1754600272.170145 10516 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"W0000 00:00:1754600272.170148 10516 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"W0000 00:00:1754600272.170151 10516 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"2025-08-07 20:57:52.174913: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
"To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
"INFO 08-07 20:57:57 [__init__.py:235] Automatically detected platform cuda.\n",
"INFO 08-07 20:58:01 [api_server.py:1755] vLLM API server version 0.10.0\n",
"INFO 08-07 20:58:01 [cli_args.py:261] non-default args: {'model_tag': './weights/DotsOCR', 'chat_template_content_format': 'string', 'model': './weights/DotsOCR', 'trust_remote_code': True, 'served_model_name': ['model'], 'gpu_memory_utilization': 0.95}\n",
"INFO 08-07 20:58:01 [config.py:1604] Using max model len 131072\n",
"INFO 08-07 20:58:01 [config.py:2434] Chunked prefill is enabled with max_num_batched_tokens=2048.\n",
"2025-08-07 20:58:05.950037: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
"E0000 00:00:1754600285.970806 10621 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
"E0000 00:00:1754600285.977110 10621 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
"W0000 00:00:1754600285.992571 10621 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"W0000 00:00:1754600285.992601 10621 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"W0000 00:00:1754600285.992604 10621 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"W0000 00:00:1754600285.992606 10621 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"INFO 08-07 20:58:11 [__init__.py:235] Automatically detected platform cuda.\n",
"INFO 08-07 20:58:14 [core.py:572] Waiting for init message from front-end.\n",
"INFO 08-07 20:58:14 [core.py:71] Initializing a V1 LLM engine (v0.10.0) with config: model='./weights/DotsOCR', speculative_config=None, tokenizer='./weights/DotsOCR', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config={}, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=131072, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, decoding_config=DecodingConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_backend=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=model, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=True, chunked_prefill_enabled=True, use_async_output_proc=True, pooler_config=None, compilation_config={\"level\":3,\"debug_dump_path\":\"\",\"cache_dir\":\"\",\"backend\":\"\",\"custom_ops\":[],\"splitting_ops\":[\"vllm.unified_attention\",\"vllm.unified_attention_with_output\",\"vllm.mamba_mixer2\"],\"use_inductor\":true,\"compile_sizes\":[],\"inductor_compile_config\":{\"enable_auto_functionalized_v2\":false},\"inductor_passes\":{},\"use_cudagraph\":true,\"cudagraph_num_of_warmups\":1,\"cudagraph_capture_sizes\":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],\"cudagraph_copy_inputs\":false,\"full_cuda_graph\":false,\"max_capture_size\":512,\"local_cache_dir\":null}\n",
"INFO 08-07 20:58:15 [parallel_state.py:1102] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0\n",
"WARNING 08-07 20:58:15 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.\n",
"INFO 08-07 20:58:15 [gpu_model_runner.py:1843] Starting to load model ./weights/DotsOCR...\n",
"INFO 08-07 20:58:15 [gpu_model_runner.py:1875] Loading model from scratch...\n",
"INFO 08-07 20:58:16 [cuda.py:290] Using Flash Attention backend on V1 engine.\n",
"Loading safetensors checkpoint shards: 100% 2/2 [00:01<00:00, 1.06it/s]\n",
"INFO 08-07 20:58:18 [default_loader.py:262] Loading weights took 1.99 seconds\n",
"INFO 08-07 20:58:19 [gpu_model_runner.py:1892] Model loading took 5.7174 GiB and 2.253556 seconds\n",
"INFO 08-07 20:58:19 [gpu_model_runner.py:2380] Encoder cache will be initialized with a budget of 14400 tokens, and profiled with 1 image items of the maximum feature size.\n",
"The image processor of type `Qwen2VLImageProcessor` is now loaded as a fast processor by default, even if the model checkpoint was saved with a slow processor. This is a breaking change and may produce slightly different outputs. To continue using the slow processor, instantiate this class with `use_fast=False`. Note that this behavior will be extended to all models in a future release.\n",
"You have video processor config saved in `preprocessor.json` file which is deprecated. Video processor configs should be saved in their own `video_preprocessor.json` file. You can rename the file or load and save the processor back which renames it automatically. Loading from `preprocessor.json` will be removed in v5.0.\n",
"INFO 08-07 20:58:49 [backends.py:530] Using cache directory: /root/.cache/vllm/torch_compile_cache/f40f68567f/rank_0_0/backbone for vLLM's torch.compile\n",
"INFO 08-07 20:58:49 [backends.py:541] Dynamo bytecode transform time: 8.76 s\n",
"INFO 08-07 20:58:56 [backends.py:161] Directly load the compiled graph(s) for dynamic shape from the cache, took 6.316 s\n",
"INFO 08-07 20:58:56 [monitor.py:34] torch.compile takes 8.76 s in total\n",
"INFO 08-07 20:58:58 [gpu_worker.py:255] Available KV cache memory: 12.20 GiB\n",
"INFO 08-07 20:58:58 [kv_cache_utils.py:833] GPU KV cache size: 456,816 tokens\n",
"INFO 08-07 20:58:58 [kv_cache_utils.py:837] Maximum concurrency for 131,072 tokens per request: 3.49x\n",
"Capturing CUDA graph shapes: 100% 67/67 [00:02<00:00, 24.17it/s]\n",
"INFO 08-07 20:59:01 [gpu_model_runner.py:2485] Graph capturing finished in 3 secs, took 0.44 GiB\n",
"INFO 08-07 20:59:01 [core.py:193] init engine (profile, create kv cache, warmup model) took 42.75 seconds\n",
"INFO 08-07 20:59:02 [loggers.py:141] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 28551\n",
"INFO 08-07 20:59:02 [api_server.py:1818] Starting vLLM API server 0 on http://0.0.0.0:8000\n",
"INFO 08-07 20:59:02 [launcher.py:29] Available routes are:\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /openapi.json, Methods: HEAD, GET\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /docs, Methods: HEAD, GET\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /docs/oauth2-redirect, Methods: HEAD, GET\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /redoc, Methods: HEAD, GET\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /health, Methods: GET\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /load, Methods: GET\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /ping, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /ping, Methods: GET\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /tokenize, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /detokenize, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /v1/models, Methods: GET\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /version, Methods: GET\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /v1/responses, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /v1/responses/{response_id}, Methods: GET\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /v1/responses/{response_id}/cancel, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /v1/chat/completions, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /v1/completions, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /v1/embeddings, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /pooling, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /classify, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /score, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /v1/score, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /v1/audio/transcriptions, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /v1/audio/translations, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /rerank, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /v1/rerank, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /v2/rerank, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /scale_elastic_ep, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /is_scaling_elastic_ep, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /invocations, Methods: POST\n",
"INFO 08-07 20:59:02 [launcher.py:37] Route: /metrics, Methods: GET\n",
"\u001b[32mINFO\u001b[0m: Started server process [\u001b[36m10516\u001b[0m]\n",
"\u001b[32mINFO\u001b[0m: Waiting for application startup.\n",
"\u001b[32mINFO\u001b[0m: Application startup complete.\n",
"\u001b[32mINFO\u001b[0m: 2001:818:c61b:b000:457e:d747:75e4:7263:0 - \"\u001b[1mGET / HTTP/1.1\u001b[0m\" \u001b[31m404 Not Found\u001b[0m\n",
"\u001b[32mINFO\u001b[0m: 2001:818:c61b:b000:457e:d747:75e4:7263:0 - \"\u001b[1mGET /favicon.ico HTTP/1.1\u001b[0m\" \u001b[31m404 Not Found\u001b[0m\n",
"INFO 08-07 21:00:28 [launcher.py:80] Shutting down FastAPI HTTP server.\n",
"[rank0]:[W807 21:00:29.608158947 ProcessGroupNCCL.cpp:1479] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())\n",
"\u001b[32mINFO\u001b[0m: Shutting down\n",
"\u001b[31mERROR\u001b[0m: Traceback (most recent call last):\n",
" File \"/usr/local/lib/python3.11/dist-packages/starlette/routing.py\", line 701, in lifespan\n",
" await receive()\n",
" File \"/usr/local/lib/python3.11/dist-packages/uvicorn/lifespan/on.py\", line 137, in receive\n",
" return await self.receive_queue.get()\n",
" ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \"/usr/lib/python3.11/asyncio/queues.py\", line 158, in get\n",
" await getter\n",
"asyncio.exceptions.CancelledError\n",
"\n"
]
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "mbOe-1sxU1-r"
},
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"outputs": []
}
]
} |