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Add Colab notebook
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Colab-TextGen-GPU.ipynb
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128
Colab-TextGen-GPU.ipynb
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"private_outputs": true,
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"provenance": [],
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"gpuType": "T4"
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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},
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"accelerator": "GPU"
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},
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"# oobabooga/text-generation-webui\n",
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"\n",
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"After running both cells, a public gradio URL will appear at the bottom in a few minutes. You can optionally generate API links.\n",
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"\n",
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"* Project page: https://github.com/oobabooga/text-generation-webui\n",
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"* Gradio server status: https://status.gradio.app/"
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],
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"metadata": {
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"id": "MFQl6-FjSYtY"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 1. Keep this tab alive to prevent Colab from disconnecting you { display-mode: \"form\" }\n",
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"\n",
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"#@markdown Press play on the music player that will appear below:\n",
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"%%html\n",
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"<audio src=\"https://oobabooga.github.io/silence.m4a\" controls>"
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],
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"metadata": {
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"id": "f7TVVj_z4flw"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 2. Launch the web UI\n",
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"\n",
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"#@markdown If unsure about the branch, write \"main\" or leave it blank.\n",
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"\n",
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"import torch\n",
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"from pathlib import Path\n",
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"\n",
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"#\n",
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"if Path.cwd().name != 'text-generation-webui':\n",
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" print(\"Installing the webui...\")\n",
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"\n",
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" !git clone https://github.com/oobabooga/text-generation-webui\n",
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" %cd text-generation-webui\n",
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"\n",
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" torver = torch.__version__\n",
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" print(f\"TORCH: {torver}\")\n",
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" is_cuda118 = '+cu118' in torver # 2.1.0+cu118\n",
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" is_cuda117 = '+cu117' in torver # 2.0.1+cu117\n",
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"\n",
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" textgen_requirements = open('requirements.txt').read().splitlines()\n",
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" if is_cuda117:\n",
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" textgen_requirements = [req.replace('+cu121', '+cu117').replace('torch2.1', 'torch2.0') for req in textgen_requirements]\n",
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" elif is_cuda118:\n",
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" textgen_requirements = [req.replace('+cu121', '+cu118') for req in textgen_requirements]\n",
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" with open('temp_requirements.txt', 'w') as file:\n",
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" file.write('\\n'.join(textgen_requirements))\n",
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"\n",
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" !pip install -r extensions/api/requirements.txt --upgrade\n",
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" !pip install -r temp_requirements.txt --upgrade\n",
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"\n",
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" print(\"\\033[1;32;1m\\n --> If you see a warning about \\\"previously imported packages\\\", just ignore it.\\n\\033[0;37;0m\")\n",
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" print(\"\\033[1;32;1m\\n --> There is no need to restart the runtime.\\n\\033[0;37;0m\")\n",
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"\n",
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" try:\n",
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" import flash_attn\n",
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" except:\n",
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" !pip uninstall -y flash_attn\n",
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"\n",
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"# Parameters\n",
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"model_url = \"https://huggingface.co/turboderp/Mistral-7B-instruct-exl2\" #@param {type:\"string\"}\n",
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"branch = \"4.0bpw\" #@param {type:\"string\"}\n",
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"command_line_flags = \"\" #@param {type:\"string\"}\n",
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"api = False #@param {type:\"boolean\"}\n",
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"\n",
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"if api:\n",
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" for param in ['--api', '--public-api']:\n",
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" if param not in command_line_flags:\n",
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" command_line_flags += f\" {param}\"\n",
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"\n",
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"model_url = model_url.strip()\n",
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"if not model_url.startswith('http'):\n",
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" model_url = 'https://huggingface.co/' + model_url\n",
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"\n",
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"# Download the model\n",
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"url_parts = model_url.strip('/').strip().split('/')\n",
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"output_folder = f\"{url_parts[-2]}_{url_parts[-1]}\"\n",
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"branch = branch.strip('\"\\' ')\n",
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"if branch.strip() != '':\n",
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" output_folder += f\"_{branch}\"\n",
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" !python download-model.py {model_url} --branch {branch}\n",
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"else:\n",
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" !python download-model.py {model_url}\n",
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"\n",
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"# Start the web UI\n",
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"cmd = f\"python server.py --share --model {output_folder} {command_line_flags}\"\n",
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"print(cmd)\n",
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"!$cmd"
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],
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"metadata": {
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"id": "LGQ8BiMuXMDG",
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"cellView": "form"
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},
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"execution_count": null,
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"outputs": []
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}
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]
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}
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