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Documentation can be found in this [Github Repo](https://github.com/AutoGPTQ/AutoGPTQ).\n", + "\n" + ], + "metadata": { + "id": "FBklzPwiqfYH" + } + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "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/", + "height": 1000 + }, + "id": "pT_OLWHwtq1S", + "outputId": "2420e54e-1d24-414c-8035-738f41f1ed7b" + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: torch in /usr/local/lib/python3.11/dist-packages (2.6.0+cu124)\n", + "Requirement already satisfied: transformers in /usr/local/lib/python3.11/dist-packages (4.53.3)\n", + "Requirement already satisfied: datasets in /usr/local/lib/python3.11/dist-packages (4.0.0)\n", + "Requirement already satisfied: accelerate 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coloredlogs, onnxruntime, nvidia-cusolver-cu12, transformers, optimum\n", + " Attempting uninstall: nvidia-nvjitlink-cu12\n", + " Found existing installation: nvidia-nvjitlink-cu12 12.5.82\n", + " Uninstalling nvidia-nvjitlink-cu12-12.5.82:\n", + " Successfully uninstalled nvidia-nvjitlink-cu12-12.5.82\n", + " Attempting uninstall: nvidia-curand-cu12\n", + " Found existing installation: nvidia-curand-cu12 10.3.6.82\n", + " Uninstalling nvidia-curand-cu12-10.3.6.82:\n", + " Successfully uninstalled nvidia-curand-cu12-10.3.6.82\n", + " Attempting uninstall: nvidia-cufft-cu12\n", + " Found existing installation: nvidia-cufft-cu12 11.2.3.61\n", + " Uninstalling nvidia-cufft-cu12-11.2.3.61:\n", + " Successfully uninstalled nvidia-cufft-cu12-11.2.3.61\n", + " Attempting uninstall: nvidia-cuda-runtime-cu12\n", + " Found existing installation: nvidia-cuda-runtime-cu12 12.5.82\n", + " Uninstalling nvidia-cuda-runtime-cu12-12.5.82:\n", + " Successfully uninstalled nvidia-cuda-runtime-cu12-12.5.82\n", + " Attempting uninstall: nvidia-cuda-nvrtc-cu12\n", + " Found existing installation: nvidia-cuda-nvrtc-cu12 12.5.82\n", + " Uninstalling nvidia-cuda-nvrtc-cu12-12.5.82:\n", + " Successfully uninstalled nvidia-cuda-nvrtc-cu12-12.5.82\n", + " 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", + " 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, + "outputs": [ + { + "output_type": "stream", + "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", + "Requirement already satisfied: accelerate>=0.26.0 in /usr/local/lib/python3.11/dist-packages (from auto-gptq) (1.9.0)\n", + "Requirement already satisfied: datasets in 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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='
2048). Running this sequence through the model will result in indexing errors\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Quantizing model.layers blocks : 0%| | 0/24 [00:00\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": [] + } + ] +} \ No newline at end of file