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eramax/Mixtral-8x7B-exl2.ipynb

Last active December 31, 2023 13:02
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Mixtral-8x7B-exl2.ipynb
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Mixtral-8x7B-exl2.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/eramax/b6fc0b472372037648df7f0019ab0e78/exl2-2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "UKnZDcsnITG3",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "ab54116c-7ee8-48bd-fe19-d49119b8f8e8"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Cloning into 'exllamav2'...\n",
"remote: Enumerating objects: 161, done.\u001b[K\n",
"remote: Counting objects: 100% (161/161), done.\u001b[K\n",
"remote: Compressing objects: 100% (149/149), done.\u001b[K\n",
"remote: Total 161 (delta 20), reused 85 (delta 10), pack-reused 0\u001b[K\n",
"Receiving objects: 100% (161/161), 1.65 MiB | 11.90 MiB/s, done.\n",
"Resolving deltas: 100% (20/20), done.\n",
"/content/exllamav2\n",
"Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 1)) (1.5.3)\n",
"Collecting ninja (from -r requirements.txt (line 2))\n",
" Downloading ninja-1.11.1.1-py2.py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl (307 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m307.2/307.2 kB\u001b[0m \u001b[31m2.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting fastparquet (from -r requirements.txt (line 3))\n",
" Downloading fastparquet-2023.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.7/1.7 MB\u001b[0m \u001b[31m16.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: torch>=2.1.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 4)) (2.1.0+cu121)\n",
"Requirement already satisfied: safetensors>=0.3.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 5)) (0.4.1)\n",
"Collecting sentencepiece>=0.1.97 (from -r requirements.txt (line 6))\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[31m46.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: pygments in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 7)) (2.16.1)\n",
"Collecting websockets (from -r requirements.txt (line 8))\n",
" Downloading websockets-12.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (130 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m130.2/130.2 kB\u001b[0m \u001b[31m15.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: regex in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 9)) (2023.6.3)\n",
"Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas->-r requirements.txt (line 1)) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->-r requirements.txt (line 1)) (2023.3.post1)\n",
"Requirement already satisfied: numpy>=1.21.0 in /usr/local/lib/python3.10/dist-packages (from pandas->-r requirements.txt (line 1)) (1.23.5)\n",
"Collecting cramjam>=2.3 (from fastparquet->-r requirements.txt (line 3))\n",
" Downloading cramjam-2.7.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m73.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from fastparquet->-r requirements.txt (line 3)) (2023.6.0)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from fastparquet->-r requirements.txt (line 3)) (23.2)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=2.1.0->-r requirements.txt (line 4)) (3.13.1)\n",
"Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=2.1.0->-r requirements.txt (line 4)) (4.5.0)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=2.1.0->-r requirements.txt (line 4)) (1.12)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=2.1.0->-r requirements.txt (line 4)) (3.2.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=2.1.0->-r requirements.txt (line 4)) (3.1.2)\n",
"Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch>=2.1.0->-r requirements.txt (line 4)) (2.1.0)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->-r requirements.txt (line 1)) (1.16.0)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=2.1.0->-r requirements.txt (line 4)) (2.1.3)\n",
"Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=2.1.0->-r requirements.txt (line 4)) (1.3.0)\n",
"Installing collected packages: sentencepiece, ninja, websockets, cramjam, fastparquet\n",
"Successfully installed cramjam-2.7.0 fastparquet-2023.10.1 ninja-1.11.1.1 sentencepiece-0.1.99 websockets-12.0\n",
"Processing /content/exllamav2\n",
" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from exllamav2==0.0.11) (1.5.3)\n",
"Requirement already satisfied: ninja in /usr/local/lib/python3.10/dist-packages (from exllamav2==0.0.11) (1.11.1.1)\n",
"Requirement already satisfied: fastparquet in /usr/local/lib/python3.10/dist-packages (from exllamav2==0.0.11) (2023.10.1)\n",
"Requirement already satisfied: torch>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from exllamav2==0.0.11) (2.1.0+cu121)\n",
"Requirement already satisfied: safetensors>=0.3.2 in /usr/local/lib/python3.10/dist-packages (from exllamav2==0.0.11) (0.4.1)\n",
"Requirement already satisfied: sentencepiece>=0.1.97 in /usr/local/lib/python3.10/dist-packages (from exllamav2==0.0.11) (0.1.99)\n",
"Requirement already satisfied: pygments in /usr/local/lib/python3.10/dist-packages (from exllamav2==0.0.11) (2.16.1)\n",
"Requirement already satisfied: websockets in /usr/local/lib/python3.10/dist-packages (from exllamav2==0.0.11) (12.0)\n",
"Requirement already satisfied: regex in /usr/local/lib/python3.10/dist-packages (from exllamav2==0.0.11) (2023.6.3)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.1->exllamav2==0.0.11) (3.13.1)\n",
"Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.1->exllamav2==0.0.11) (4.5.0)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.1->exllamav2==0.0.11) (1.12)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.1->exllamav2==0.0.11) (3.2.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.1->exllamav2==0.0.11) (3.1.2)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.1->exllamav2==0.0.11) (2023.6.0)\n",
"Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.1->exllamav2==0.0.11) (2.1.0)\n",
"Requirement already satisfied: numpy>=1.20.3 in /usr/local/lib/python3.10/dist-packages (from fastparquet->exllamav2==0.0.11) (1.23.5)\n",
"Requirement already satisfied: cramjam>=2.3 in /usr/local/lib/python3.10/dist-packages (from fastparquet->exllamav2==0.0.11) (2.7.0)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from fastparquet->exllamav2==0.0.11) (23.2)\n",
"Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas->exllamav2==0.0.11) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->exllamav2==0.0.11) (2023.3.post1)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->exllamav2==0.0.11) (1.16.0)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=2.0.1->exllamav2==0.0.11) (2.1.3)\n",
"Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=2.0.1->exllamav2==0.0.11) (1.3.0)\n",
"Building wheels for collected packages: exllamav2\n",
" Building wheel for exllamav2 (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for exllamav2: filename=exllamav2-0.0.11-cp310-cp310-linux_x86_64.whl size=9945222 sha256=eb206e7eb5b9577c799d82a5772d2afbb54d67b3f092ca9b1f40cad68556d994\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-27p6bzh4/wheels/5a/f8/dc/09b6466fc29d3ca538340226ed551df529f09a59f7650f5ec0\n",
"Successfully built exllamav2\n",
"Installing collected packages: exllamav2\n",
"Successfully installed exllamav2-0.0.11\n"
]
}
],
"source": [
"!git clone --depth 1 -b master https://github.com/turboderp/exllamav2.git\n",
"%cd /content/exllamav2\n",
"!pip install -r requirements.txt\n",
"!pip install ."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "gvO-TsE-6bcw"
},
"outputs": [],
"source": [
"model_name=\"turboderp/Mixtral-8x7B-instruct-exl2\"\n",
"model_branch=\"2.4bpw\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 693,
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"text": [
"total 14G\n",
"-rw-r--r-- 1 root root 482K Dec 30 12:10 tokenizer.model\n",
"-rw-r--r-- 1 root root 1.8M Dec 30 12:10 tokenizer.json\n",
"-rw-r--r-- 1 root root 1.5K Dec 30 12:10 tokenizer_config.json\n",
"-rw-r--r-- 1 root root 72 Dec 30 12:10 special_tokens_map.json\n",
"-rw-r--r-- 1 root root 5.2K Dec 30 12:10 README.md\n",
"-rw-r--r-- 1 root root 5.4G Dec 30 12:11 output-00002-of-00002.safetensors\n",
"-rw-r--r-- 1 root root 8.0G Dec 30 12:13 output-00001-of-00002.safetensors\n",
"-rw-r--r-- 1 root root 91K Dec 30 12:10 model.safetensors.index.json\n",
"-rw-r--r-- 1 root root 1.5K Dec 30 12:10 gitattributes\n",
"-rw-r--r-- 1 root root 1.5K Dec 30 12:10 .gitattributes\n",
"-rw-r--r-- 1 root root 116 Dec 30 12:10 generation_config.json\n",
"-rw-r--r-- 1 root root 720 Dec 30 12:10 config.json\n",
"drwxr-xr-x 1 root root 4.0K Dec 30 12:13 ..\n",
"drwxr-xr-x 2 root root 4.0K Dec 30 12:13 .\n"
]
}
],
"source": [
"!rm -rf /content/model\n",
"from huggingface_hub import snapshot_download\n",
"snapshot_download(local_dir_use_symlinks=False, local_dir=\"/content/model\", repo_id=model_name, revision=model_branch)\n",
"!ls -ahrl /content/model"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "HC06e0hNKrmK",
"outputId": "6502e1d0-f6b2-4b05-86cf-69416fbb2da1"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Python 3.10.12\n",
"nvcc: NVIDIA (R) Cuda compiler driver\n",
"Copyright (c) 2005-2023 NVIDIA Corporation\n",
"Built on Tue_Aug_15_22:02:13_PDT_2023\n",
"Cuda compilation tools, release 12.2, V12.2.140\n",
"Build cuda_12.2.r12.2/compiler.33191640_0\n",
"No LSB modules are available.\n",
"Distributor ID:\tUbuntu\n",
"Description:\tUbuntu 22.04.3 LTS\n",
"Release:\t22.04\n",
"Codename:\tjammy\n",
"GPU 0: Tesla T4 (UUID: GPU-fdbf504d-1e46-f10a-5b1a-ef4dcda34ebe)\n",
"Sat Dec 30 12:13:27 2023 \n",
"+---------------------------------------------------------------------------------------+\n",
"| NVIDIA-SMI 535.104.05 Driver Version: 535.104.05 CUDA Version: 12.2 |\n",
"|-----------------------------------------+----------------------+----------------------+\n",
"| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
"| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n",
"| | | MIG M. |\n",
"|=========================================+======================+======================|\n",
"| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n",
"| N/A 37C P8 10W / 70W | 0MiB / 15360MiB | 0% Default |\n",
"| | | N/A |\n",
"+-----------------------------------------+----------------------+----------------------+\n",
" \n",
"+---------------------------------------------------------------------------------------+\n",
"| Processes: |\n",
"| GPU GI CI PID Type Process name GPU Memory |\n",
"| ID ID Usage |\n",
"|=======================================================================================|\n",
"| No running processes found |\n",
"+---------------------------------------------------------------------------------------+\n",
"Enabled persistence mode for GPU 00000000:00:04.0.\n",
"All done.\n"
]
}
],
"source": [
"!python -V\n",
"!nvcc --version\n",
"!lsb_release -a\n",
"!nvidia-smi --list-gpus\n",
"!nvidia-smi\n",
"!nvidia-smi -pm 1"
]
},
{
"cell_type": "code",
"source": [
"#line Wrapping\n",
"from IPython.display import HTML, display\n",
"def set_css():\n",
" display(HTML('''\n",
" <style>\n",
" pre {\n",
" white-space: pre-wrap;\n",
" }\n",
" .stdin-widget {\n",
" width: 30%;\n",
" border: 0px solid aquamarine;\n",
" }\n",
" </style>\n",
" '''))\n",
"get_ipython().events.register('pre_run_cell', set_css)"
],
"metadata": {
"id": "B3Dgb0TIHzv3"
},
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"outputs": []
},
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"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 201
},
"id": "mZUOYNgS05cY",
"outputId": "311a2fe0-f3d7-4a22-f884-d37fc7dfb49f"
},
"outputs": [
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"output_type": "display_data",
"data": {
"text/plain": [
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],
"text/html": [
"\n",
" <style>\n",
" pre {\n",
" white-space: pre-wrap;\n",
" }\n",
" .stdin-widget {\n",
" width: 30%;\n",
" border: 0px solid aquamarine;\n",
" }\n",
" </style>\n",
" "
]
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stdout",
"text": [
" -- Model: /content/model\n",
" -- Options: ['length: 512']\n",
" -- Loading model...\n",
" -- Loading tokenizer...\n",
" -- Prompt format: chatml\n",
" -- System prompt:\n",
"\n",
"\u001b[37;1mYou are Chatbort, a large language model. Answer as concisely as possible.\u001b[0m\n",
"\n",
"\u001b[33;1mUser: \u001b[0m"
]
}
],
"source": [
"import torch\n",
"torch.cuda.empty_cache()\n",
"!python examples/chat.py -m /content/model -mode chatml -l 512 --cache_8bit # -maxr 250 -resc 250"
]
}
],
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"accelerator": "GPU",
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"gpuType": "T4",
"name": "Mixtral-8x7B-exl2.ipynb",
"authorship_tag": "ABX9TyNVDVVrwy2zYpe87BOAfmN/",
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},
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