11530 lines
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Plaintext
11530 lines
432 KiB
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|
||
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|
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"cells": [
|
||
{
|
||
"cell_type": "markdown",
|
||
"source": [
|
||
"# Quantizing Phi-1.5 with GPTQ Algorithm\n",
|
||
"\n",
|
||
"We first setup our environment by checking whether all libraries and dependencies are installed or in the correct versions.\n",
|
||
"\n",
|
||
"We will first apply AutoGPTQ. Documentation can be found in this [Github Repo](https://github.com/AutoGPTQ/AutoGPTQ).\n",
|
||
"\n"
|
||
],
|
||
"metadata": {
|
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"id": "FBklzPwiqfYH"
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||
}
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{
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||
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|
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"execution_count": null,
|
||
"metadata": {
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||
"colab": {
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||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"id": "j9XAyM6uqEEw",
|
||
"outputId": "6182e24c-7585-40b5-9a6a-fb244ec567b0"
|
||
},
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"nvcc: NVIDIA (R) Cuda compiler driver\n",
|
||
"Copyright (c) 2005-2024 NVIDIA Corporation\n",
|
||
"Built on Thu_Jun__6_02:18:23_PDT_2024\n",
|
||
"Cuda compilation tools, release 12.5, V12.5.82\n",
|
||
"Build cuda_12.5.r12.5/compiler.34385749_0\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"!nvcc --version"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"source": [
|
||
"We can see that CUDA 12 is used."
|
||
],
|
||
"metadata": {
|
||
"id": "bRXS61P_tfZi"
|
||
}
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"!python --version"
|
||
],
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"id": "EO9WuRajtq5L",
|
||
"outputId": "34f9b2d2-291a-49bb-b7bf-8ab5f30907b9"
|
||
},
|
||
"execution_count": null,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"Python 3.11.13\n"
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"!pip install torch transformers datasets accelerate optimum[exporters]"
|
||
],
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
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},
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"id": "pT_OLWHwtq1S",
|
||
"outputId": "2420e54e-1d24-414c-8035-738f41f1ed7b"
|
||
},
|
||
"execution_count": 5,
|
||
"outputs": [
|
||
{
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||
"output_type": "stream",
|
||
"name": "stdout",
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"text": [
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"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.11/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.7.0)\n",
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"Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.11/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (6.6.3)\n",
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"Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (0.3.2)\n",
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"Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.20.1)\n",
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"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.17.0)\n",
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"Collecting humanfriendly>=9.1 (from coloredlogs->onnxruntime->optimum[exporters])\n",
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" Downloading humanfriendly-10.0-py2.py3-none-any.whl.metadata (9.2 kB)\n",
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"Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.11/dist-packages (from torchvision->timm->optimum[exporters]) (11.3.0)\n",
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"Downloading nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl (363.4 MB)\n",
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"\u001b[?25hDownloading nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (13.8 MB)\n",
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"\u001b[?25hDownloading transformers-4.52.4-py3-none-any.whl (10.5 MB)\n",
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"\u001b[?25hDownloading onnx-1.18.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.6 MB)\n",
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"\u001b[?25hDownloading onnxruntime-1.22.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.5 MB)\n",
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"\u001b[?25hDownloading optimum-1.26.1-py3-none-any.whl (424 kB)\n",
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"\u001b[?25hDownloading coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.0/46.0 kB\u001b[0m \u001b[31m4.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25hDownloading humanfriendly-10.0-py2.py3-none-any.whl (86 kB)\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.8/86.8 kB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25hInstalling collected packages: onnx, nvidia-nvjitlink-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, humanfriendly, nvidia-cusparse-cu12, nvidia-cudnn-cu12, coloredlogs, onnxruntime, nvidia-cusolver-cu12, transformers, optimum\n",
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" Attempting uninstall: nvidia-nvjitlink-cu12\n",
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" Found existing installation: nvidia-nvjitlink-cu12 12.5.82\n",
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" Uninstalling nvidia-nvjitlink-cu12-12.5.82:\n",
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" Successfully uninstalled nvidia-nvjitlink-cu12-12.5.82\n",
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" Attempting uninstall: nvidia-curand-cu12\n",
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" Found existing installation: nvidia-curand-cu12 10.3.6.82\n",
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" Uninstalling nvidia-curand-cu12-10.3.6.82:\n",
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" Successfully uninstalled nvidia-curand-cu12-10.3.6.82\n",
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" Attempting uninstall: nvidia-cufft-cu12\n",
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" Found existing installation: nvidia-cufft-cu12 11.2.3.61\n",
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" Uninstalling nvidia-cufft-cu12-11.2.3.61:\n",
|
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" Successfully uninstalled nvidia-cufft-cu12-11.2.3.61\n",
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" Attempting uninstall: nvidia-cuda-runtime-cu12\n",
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" Found existing installation: nvidia-cuda-runtime-cu12 12.5.82\n",
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||
" Uninstalling nvidia-cuda-runtime-cu12-12.5.82:\n",
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||
" Successfully uninstalled nvidia-cuda-runtime-cu12-12.5.82\n",
|
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" Attempting uninstall: nvidia-cuda-nvrtc-cu12\n",
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" Found existing installation: nvidia-cuda-nvrtc-cu12 12.5.82\n",
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" Uninstalling nvidia-cuda-nvrtc-cu12-12.5.82:\n",
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" Successfully uninstalled nvidia-cuda-nvrtc-cu12-12.5.82\n",
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" Attempting uninstall: nvidia-cuda-cupti-cu12\n",
|
||
" Found existing installation: nvidia-cuda-cupti-cu12 12.5.82\n",
|
||
" Uninstalling nvidia-cuda-cupti-cu12-12.5.82:\n",
|
||
" Successfully uninstalled nvidia-cuda-cupti-cu12-12.5.82\n",
|
||
" Attempting uninstall: nvidia-cublas-cu12\n",
|
||
" Found existing installation: nvidia-cublas-cu12 12.5.3.2\n",
|
||
" Uninstalling nvidia-cublas-cu12-12.5.3.2:\n",
|
||
" Successfully uninstalled nvidia-cublas-cu12-12.5.3.2\n",
|
||
" Attempting uninstall: nvidia-cusparse-cu12\n",
|
||
" Found existing installation: nvidia-cusparse-cu12 12.5.1.3\n",
|
||
" Uninstalling nvidia-cusparse-cu12-12.5.1.3:\n",
|
||
" Successfully uninstalled nvidia-cusparse-cu12-12.5.1.3\n",
|
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" Attempting uninstall: nvidia-cudnn-cu12\n",
|
||
" Found existing installation: nvidia-cudnn-cu12 9.3.0.75\n",
|
||
" Uninstalling nvidia-cudnn-cu12-9.3.0.75:\n",
|
||
" Successfully uninstalled nvidia-cudnn-cu12-9.3.0.75\n",
|
||
" Attempting uninstall: nvidia-cusolver-cu12\n",
|
||
" Found existing installation: nvidia-cusolver-cu12 11.6.3.83\n",
|
||
" Uninstalling nvidia-cusolver-cu12-11.6.3.83:\n",
|
||
" Successfully uninstalled nvidia-cusolver-cu12-11.6.3.83\n",
|
||
" Attempting uninstall: transformers\n",
|
||
" Found existing installation: transformers 4.53.3\n",
|
||
" Uninstalling transformers-4.53.3:\n",
|
||
" Successfully uninstalled transformers-4.53.3\n",
|
||
"Successfully installed coloredlogs-15.0.1 humanfriendly-10.0 nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127 onnx-1.18.0 onnxruntime-1.22.1 optimum-1.26.1 transformers-4.52.4\n"
|
||
]
|
||
},
|
||
{
|
||
"output_type": "display_data",
|
||
"data": {
|
||
"application/vnd.colab-display-data+json": {
|
||
"pip_warning": {
|
||
"packages": [
|
||
"nvidia",
|
||
"transformers"
|
||
]
|
||
},
|
||
"id": "e76d48369e0d4298a6dca850e5f24875"
|
||
}
|
||
},
|
||
"metadata": {}
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"!pip install auto-gptq"
|
||
],
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"id": "rce-C5fCtqzW",
|
||
"outputId": "9af1ba10-85da-465e-dc73-7b94c631013b"
|
||
},
|
||
"execution_count": 1,
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||
"outputs": [
|
||
{
|
||
"output_type": "stream",
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||
"name": "stdout",
|
||
"text": [
|
||
"Collecting auto-gptq\n",
|
||
" Downloading auto_gptq-0.7.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (18 kB)\n",
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||
"Requirement already satisfied: accelerate>=0.26.0 in /usr/local/lib/python3.11/dist-packages (from auto-gptq) (1.9.0)\n",
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"Requirement already satisfied: datasets in /usr/local/lib/python3.11/dist-packages (from auto-gptq) (4.0.0)\n",
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||
"Requirement already satisfied: sentencepiece in /usr/local/lib/python3.11/dist-packages (from auto-gptq) (0.2.0)\n",
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||
"Requirement already satisfied: numpy in /usr/local/lib/python3.11/dist-packages (from auto-gptq) (2.0.2)\n",
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"Collecting rouge (from auto-gptq)\n",
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||
" Downloading rouge-1.0.1-py3-none-any.whl.metadata (4.1 kB)\n",
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"Collecting gekko (from auto-gptq)\n",
|
||
" Downloading gekko-1.3.0-py3-none-any.whl.metadata (3.0 kB)\n",
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||
"Requirement already satisfied: torch>=1.13.0 in /usr/local/lib/python3.11/dist-packages (from auto-gptq) (2.6.0+cu124)\n",
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||
"Requirement already satisfied: safetensors in /usr/local/lib/python3.11/dist-packages (from auto-gptq) (0.5.3)\n",
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||
"Requirement already satisfied: transformers>=4.31.0 in /usr/local/lib/python3.11/dist-packages (from auto-gptq) (4.52.4)\n",
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||
"Requirement already satisfied: peft>=0.5.0 in /usr/local/lib/python3.11/dist-packages (from auto-gptq) (0.16.0)\n",
|
||
"Requirement already satisfied: tqdm in /usr/local/lib/python3.11/dist-packages (from auto-gptq) (4.67.1)\n",
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||
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.11/dist-packages (from accelerate>=0.26.0->auto-gptq) (25.0)\n",
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||
"Requirement already satisfied: psutil in /usr/local/lib/python3.11/dist-packages (from accelerate>=0.26.0->auto-gptq) (5.9.5)\n",
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||
"Requirement already satisfied: pyyaml in /usr/local/lib/python3.11/dist-packages (from accelerate>=0.26.0->auto-gptq) (6.0.2)\n",
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||
"Requirement already satisfied: huggingface_hub>=0.21.0 in /usr/local/lib/python3.11/dist-packages (from accelerate>=0.26.0->auto-gptq) (0.33.4)\n",
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||
"Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (3.18.0)\n",
|
||
"Requirement already satisfied: typing-extensions>=4.10.0 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (4.14.1)\n",
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||
"Requirement already satisfied: networkx in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (3.5)\n",
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||
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (3.1.6)\n",
|
||
"Requirement already satisfied: fsspec in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (2025.3.0)\n",
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||
"Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.4.127 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (12.4.127)\n",
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||
"Requirement already satisfied: nvidia-cuda-runtime-cu12==12.4.127 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (12.4.127)\n",
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||
"Requirement already satisfied: nvidia-cuda-cupti-cu12==12.4.127 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (12.4.127)\n",
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||
"Requirement already satisfied: nvidia-cudnn-cu12==9.1.0.70 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (9.1.0.70)\n",
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||
"Requirement already satisfied: nvidia-cublas-cu12==12.4.5.8 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (12.4.5.8)\n",
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||
"Requirement already satisfied: nvidia-cufft-cu12==11.2.1.3 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (11.2.1.3)\n",
|
||
"Requirement already satisfied: nvidia-curand-cu12==10.3.5.147 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (10.3.5.147)\n",
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||
"Requirement already satisfied: nvidia-cusolver-cu12==11.6.1.9 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (11.6.1.9)\n",
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||
"Requirement already satisfied: nvidia-cusparse-cu12==12.3.1.170 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (12.3.1.170)\n",
|
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"Requirement already satisfied: nvidia-cusparselt-cu12==0.6.2 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (0.6.2)\n",
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"Requirement already satisfied: nvidia-nccl-cu12==2.21.5 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (2.21.5)\n",
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||
"Requirement already satisfied: nvidia-nvtx-cu12==12.4.127 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (12.4.127)\n",
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"Requirement already satisfied: nvidia-nvjitlink-cu12==12.4.127 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (12.4.127)\n",
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"Requirement already satisfied: triton==3.2.0 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (3.2.0)\n",
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"Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.11/dist-packages (from torch>=1.13.0->auto-gptq) (1.13.1)\n",
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"Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.11/dist-packages (from sympy==1.13.1->torch>=1.13.0->auto-gptq) (1.3.0)\n",
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"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.11/dist-packages (from transformers>=4.31.0->auto-gptq) (2024.11.6)\n",
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"Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from transformers>=4.31.0->auto-gptq) (2.32.3)\n",
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"Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.11/dist-packages (from transformers>=4.31.0->auto-gptq) (0.21.2)\n",
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"Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.11/dist-packages (from datasets->auto-gptq) (18.1.0)\n",
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"Requirement already satisfied: dill<0.3.9,>=0.3.0 in /usr/local/lib/python3.11/dist-packages (from datasets->auto-gptq) (0.3.8)\n",
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"Requirement already satisfied: pandas in /usr/local/lib/python3.11/dist-packages (from datasets->auto-gptq) (2.2.2)\n",
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"Requirement already satisfied: xxhash in /usr/local/lib/python3.11/dist-packages (from datasets->auto-gptq) (3.5.0)\n",
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||
"Requirement already satisfied: multiprocess<0.70.17 in /usr/local/lib/python3.11/dist-packages (from datasets->auto-gptq) (0.70.16)\n",
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||
"Requirement already satisfied: six in /usr/local/lib/python3.11/dist-packages (from rouge->auto-gptq) (1.17.0)\n",
|
||
"Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/lib/python3.11/dist-packages (from fsspec[http]<=2025.3.0,>=2023.1.0->datasets->auto-gptq) (3.12.14)\n",
|
||
"Requirement already satisfied: hf-xet<2.0.0,>=1.1.2 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub>=0.21.0->accelerate>=0.26.0->auto-gptq) (1.1.5)\n",
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||
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->transformers>=4.31.0->auto-gptq) (3.4.2)\n",
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||
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->transformers>=4.31.0->auto-gptq) (3.10)\n",
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||
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->transformers>=4.31.0->auto-gptq) (2.5.0)\n",
|
||
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests->transformers>=4.31.0->auto-gptq) (2025.7.14)\n",
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||
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.11/dist-packages (from jinja2->torch>=1.13.0->auto-gptq) (3.0.2)\n",
|
||
"Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.11/dist-packages (from pandas->datasets->auto-gptq) (2.9.0.post0)\n",
|
||
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.11/dist-packages (from pandas->datasets->auto-gptq) (2025.2)\n",
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||
"Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.11/dist-packages (from pandas->datasets->auto-gptq) (2025.2)\n",
|
||
"Requirement already satisfied: aiohappyeyeballs>=2.5.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->auto-gptq) (2.6.1)\n",
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||
"Requirement already satisfied: aiosignal>=1.4.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->auto-gptq) (1.4.0)\n",
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||
"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->auto-gptq) (25.3.0)\n",
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||
"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.11/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->auto-gptq) (1.7.0)\n",
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||
"Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.11/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->auto-gptq) (6.6.3)\n",
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||
"Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->auto-gptq) (0.3.2)\n",
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||
"Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->auto-gptq) (1.20.1)\n",
|
||
"Downloading auto_gptq-0.7.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.5 MB)\n",
|
||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m23.5/23.5 MB\u001b[0m \u001b[31m41.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||
"\u001b[?25hDownloading gekko-1.3.0-py3-none-any.whl (13.2 MB)\n",
|
||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.2/13.2 MB\u001b[0m \u001b[31m76.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||
"\u001b[?25hDownloading rouge-1.0.1-py3-none-any.whl (13 kB)\n",
|
||
"Installing collected packages: rouge, gekko, auto-gptq\n",
|
||
"Successfully installed auto-gptq-0.7.1 gekko-1.3.0 rouge-1.0.1\n"
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"import torch\n",
|
||
"print(torch.__version__)"
|
||
],
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"id": "bQLiEhWktqwl",
|
||
"outputId": "46852ab6-c262-45b5-b7d4-daded513c516"
|
||
},
|
||
"execution_count": 2,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"2.6.0+cu124\n"
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"from huggingface_hub import notebook_login\n",
|
||
"\n",
|
||
"notebook_login()"
|
||
],
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 17,
|
||
"referenced_widgets": [
|
||
"48d808460ce74631a9c723a98f104eee",
|
||
"c3f3a3cd5d9049feb44b20afdf4b4558",
|
||
"f299c8a9ec9c4f72adddaf27527524aa",
|
||
"0bee3ad123754767be6b82da79b252b3",
|
||
"410e43c953764390841016a737d11628",
|
||
"58127c12b9e441a4a99ebae327478bde",
|
||
"59af6ceeacd343c089ca47f13daeaf3c",
|
||
"cb3e4fd1f5814b33ac6dd3f20ed7829c",
|
||
"81ff126389994532baaf1e50a425fdbf",
|
||
"bb7a39dc49dd4d919f9f3d587c38497d",
|
||
"da13bb101ed142df872f04c46d03336c",
|
||
"ed408510e1984bb7807e159cc22e389e",
|
||
"46c7728f2a6544b380a36971037fbc85",
|
||
"fd0783bbb1a3440093f6f40ebae775a9",
|
||
"ed27fd8b40c642059f3c44572254f0f7",
|
||
"370291a74ab34ff194bf19da884ca18f",
|
||
"7fbde9afdf864ac9a8ae5a22f0dd346c",
|
||
"8f3987b7258746e9bc1eaa9090fea965",
|
||
"d8d99dcfcab44b388b5e54b3e96dab3d",
|
||
"067bcd4e85cf4716a4c6afcb9718f690"
|
||
]
|
||
},
|
||
"id": "hgC4NH3zx15W",
|
||
"outputId": "701b36d8-0289-429d-b390-430bc7a64d34"
|
||
},
|
||
"execution_count": 3,
|
||
"outputs": [
|
||
{
|
||
"output_type": "display_data",
|
||
"data": {
|
||
"text/plain": [
|
||
"VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
|
||
],
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"version_major": 2,
|
||
"version_minor": 0,
|
||
"model_id": "48d808460ce74631a9c723a98f104eee"
|
||
}
|
||
},
|
||
"metadata": {}
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"from transformers import AutoModelForCausalLM, GPTQConfig, AutoTokenizer\n",
|
||
"from huggingface_hub import snapshot_download\n",
|
||
"import torch\n",
|
||
"import time\n",
|
||
"\n",
|
||
"device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
|
||
"\n",
|
||
"model_id = \"microsoft/phi-1_5\"\n",
|
||
"tokenizer = AutoTokenizer.from_pretrained(model_id)\n",
|
||
"model = AutoModelForCausalLM.from_pretrained(model_id).half().to(device)\n",
|
||
"model_memory = model.get_memory_footprint()/(1024**3)\n",
|
||
"print(f\"Model memory: {model_memory:.2f} GB\")\n",
|
||
"\n",
|
||
"\n",
|
||
"#gptq_config = GPTQConfig(bits=4, dataset=\"c4\", tokenizer=tokenizer)\n",
|
||
"\n",
|
||
"#model_name_or_path = local_dir\n",
|
||
"\n",
|
||
"#tokenizer= AutoTokenizer.from_pretrained(model_name_or_path)\n",
|
||
"#quant_model = AutoModelForCausalLM.from_pretrained(model_name_or_path,\n",
|
||
"# quantization_config=quantization_config,\n",
|
||
"# device_map='auto')"
|
||
],
|
||
"metadata": {
|
||
"id": "pXbESESrtqp5",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"outputId": "e44f7753-62ea-447c-e38f-9c4cb15d1b5c"
|
||
},
|
||
"execution_count": 4,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stderr",
|
||
"text": [
|
||
"/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n",
|
||
"The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
|
||
"To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
|
||
"You will be able to reuse this secret in all of your notebooks.\n",
|
||
"Please note that authentication is recommended but still optional to access public models or datasets.\n",
|
||
" warnings.warn(\n"
|
||
]
|
||
},
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"Model memory: 2.64 GB\n"
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"import time\n",
|
||
"\n",
|
||
"quantization_config = GPTQConfig(bits=4,\n",
|
||
" group_size=128,\n",
|
||
" dataset=\"c4\",\n",
|
||
" tokenizer=tokenizer,\n",
|
||
" desc_act=False)\n",
|
||
"\n",
|
||
"print(\"Starting Model Quantization...\")\n",
|
||
"\n",
|
||
"t0 = time.time()\n",
|
||
"bit_quant = AutoModelForCausalLM.from_pretrained(model_id, device_map=\"auto\", quantization_config=quantization_config)\n",
|
||
"t_quant = time.time() - t0\n",
|
||
"\n",
|
||
"print(f\"Quantization time: {t_quantization:.2f} s = {t_quantization/60:.2f} min\")"
|
||
],
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 560,
|
||
"referenced_widgets": [
|
||
"b858ebd2dd4345a6b6e09a8f41c0e754",
|
||
"3488c4ae6335479cad957d5725cf4d73",
|
||
"cffe2d3dea3f4db29ce6c7da772ed2f7",
|
||
"9b703e6a6f48418da47d41752a6965fa",
|
||
"0619bafedd3342c4b147d929c903165b",
|
||
"0677da1369ba4e1d884a6217f31e4c80",
|
||
"28d2604ed1754be3a43d2146d3f7f477",
|
||
"8fa4ac50498b4ac28111fbc35e11e398",
|
||
"adbd6c93f6ee44709bb7a1164d43a216",
|
||
"860cd51afa924d1ea11bbd041d426e70",
|
||
"f8aaf333d3b04f4fa164264c7edeb40e",
|
||
"29f8ec4b24324c7980a67f5be2112d02",
|
||
"f68b28aae07a485181c0d3e2348fcd4e",
|
||
"e5b9838e6cd9438fb848eb615fa6b09f",
|
||
"7021348d013b4fac8f8ce08f03124543",
|
||
"773382fa3a2946adb0bde97007c56203",
|
||
"92fe384bed5845279c39b254d15afdbb",
|
||
"e2a583187ee9477a96b72490ed8ff4e4",
|
||
"b9fd8a5319004a9aab8c7cdc368f5871",
|
||
"9ffbdb5962d147e7b2154c4d32efb5c9",
|
||
"c8182966a6d642c3a65804de49c1426d",
|
||
"2737de0a9a69429abcb2b8b579889bc7",
|
||
"426625005005441eaa099d488c6a8227",
|
||
"20ad9117f8ae463cb73d2b5280d27c5b",
|
||
"675bb398199e4a568b7d5216ba123c1d",
|
||
"6c119c389e8e4001b0a474a10160d3a3",
|
||
"7fe1862984d94346a7e25783ba072ce4",
|
||
"8315c4f458894fe3bcf902ce3e057c53",
|
||
"5bd541acd17b428ea61007d2afc9b391",
|
||
"923064244a4e44a1b79b1b01cd8aed87",
|
||
"e9372ea90dd141f58e5b6afd2d6e74a7",
|
||
"a5373c91d3974c3bbe3fafdd697bf5f3",
|
||
"f1bb683eb3ca471bae7e258a054ebfd9",
|
||
"38626df062784e859b222195be28ee9a",
|
||
"ca14eaf932a84ce6939ec99962b7db26",
|
||
"d2bba962834b41edac8fa59dac429d49",
|
||
"ab48426ff78745bb820adb85ab74615d",
|
||
"861b407c51e943c3880c559e772ede48",
|
||
"469604bd1c224bff95279bb66e6c766f",
|
||
"c50b8a0c4bfb4e0cb102633d28598784",
|
||
"16f1ee643aca46b686c5518b32feecc1",
|
||
"8978dcd7254449eb9ea646a6d8e7606f",
|
||
"9a198986d5dc43a18162f8070c9fbca6",
|
||
"b128e049a47d472c969c24be38b99447",
|
||
"a7e297db72c54927a79a21f8a50fa565",
|
||
"529a556fe99a4a79aa868c26ba597bf5",
|
||
"2f0aa4f8a7984dd9945fc16827bf7c57",
|
||
"19af93e3a33a423eac22c42c99d474f9",
|
||
"61370e7d0758452db5221dc7d2424e76",
|
||
"db13791ff855471a9ed5a3a7a88eec88",
|
||
"1dc7c29c477b422191544ed9dd509e56",
|
||
"a45f4378230f4556999d3620676508d9",
|
||
"bf6e9d7807f34fd49d662f58c8fdb16f",
|
||
"48a201d96b10425fb5265e18d1c7d90f",
|
||
"373f46b4715a492b88a63fffaa950871",
|
||
"02b377d3f37046698c0edd9a58ab64ef",
|
||
"31a980df64504aa1a185ad709551d093",
|
||
"89fbf57a90f6443394770ddd733c503c",
|
||
"38d733b3f3c941da9621f4673df2562f",
|
||
"3f95c41f5ccb43d198afc5ef0ccd9a6e",
|
||
"17f95924747648c7841e4b473f1bbcf6",
|
||
"52cc454ef2784e4f812cff5d2687d346",
|
||
"8b4209f3c97d495498915f8418ad12ff",
|
||
"5a6a0d4f27a0451dabc80d77d7820f88",
|
||
"fb6fd3bfaae846dba9b62c3fd3d1dabc",
|
||
"f1dc708b528a47a08bdb6c33d62894df",
|
||
"1ed8df41357d4ee0aee9a14ad9650ed1",
|
||
"52d465b359c7445c96a49dec4e5614d8",
|
||
"621b8e336ae14c118227afed5bf348b3",
|
||
"ca0114fd8d1d4b5aa08c39a36219d6bd",
|
||
"637d1af1ad634cc78ef05ebfe3666c62",
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},
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"outputs": [
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"text": [
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||
"Starting Model Quantization...\n"
|
||
]
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{
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||
"/usr/local/lib/python3.11/dist-packages/auto_gptq/nn_modules/triton_utils/kernels.py:410: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.\n",
|
||
" @custom_fwd\n",
|
||
"/usr/local/lib/python3.11/dist-packages/auto_gptq/nn_modules/triton_utils/kernels.py:418: FutureWarning: `torch.cuda.amp.custom_bwd(args...)` is deprecated. Please use `torch.amp.custom_bwd(args..., device_type='cuda')` instead.\n",
|
||
" @custom_bwd\n",
|
||
"/usr/local/lib/python3.11/dist-packages/auto_gptq/nn_modules/triton_utils/kernels.py:461: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.\n",
|
||
" @custom_fwd(cast_inputs=torch.float16)\n",
|
||
"WARNING:auto_gptq.nn_modules.qlinear.qlinear_cuda:CUDA extension not installed.\n",
|
||
"WARNING:auto_gptq.nn_modules.qlinear.qlinear_cuda_old:CUDA extension not installed.\n"
|
||
]
|
||
},
|
||
{
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"data": {
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}
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||
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{
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||
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||
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||
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|
||
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],
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|
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|
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|
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||
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|
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|
||
"text": [
|
||
"`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`.\n"
|
||
]
|
||
},
|
||
{
|
||
"output_type": "error",
|
||
"ename": "NameError",
|
||
"evalue": "name 't_quantization' is not defined",
|
||
"traceback": [
|
||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
|
||
"\u001b[0;32m/tmp/ipython-input-5-1944319448.py\u001b[0m in \u001b[0;36m<cell line: 0>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[0mt_quant\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mt0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Quantization time: {t_quantization:.2f} s = {t_quantization/60:.2f} min\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||
"\u001b[0;31mNameError\u001b[0m: name 't_quantization' is not defined"
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"model_reqs_4_bit = bit_quant.get_memory_footprint() / (1024**3)\n",
|
||
"print(f\"Model Memory After Quantization: {model_reqs_4_bit:.2f} GB\")"
|
||
],
|
||
"metadata": {
|
||
"id": "ps7PwaQQJGrF",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"outputId": "95377dd1-88fa-42b6-ef9c-922b9f42ef1c"
|
||
},
|
||
"execution_count": 7,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"Model Memory After Quantization: 0.98 GB\n"
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"torch.save(bit_quant.state_dict(), \"quantized_gptq_phi.pt\")\n"
|
||
],
|
||
"metadata": {
|
||
"id": "bWZGMpaStqlm"
|
||
},
|
||
"execution_count": 9,
|
||
"outputs": []
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [],
|
||
"metadata": {
|
||
"id": "rpNNqMm0tbkO"
|
||
},
|
||
"execution_count": null,
|
||
"outputs": []
|
||
}
|
||
]
|
||
} |