{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "JeByetuw4Z8p", "outputId": "40f3df96-0ef2-4c83-fc7b-869868ec4084" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.11/dist-packages (0.27.1)\n", "Requirement already satisfied: pandas in /usr/local/lib/python3.11/dist-packages (2.2.2)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (3.16.1)\n", "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (2024.10.0)\n", "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (24.2)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (6.0.2)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (2.32.3)\n", "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (4.67.1)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (4.12.2)\n", "Requirement already satisfied: numpy>=1.23.2 in /usr/local/lib/python3.11/dist-packages (from pandas) (1.26.4)\n", "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.11/dist-packages (from pandas) (2.8.2)\n", "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.11/dist-packages (from pandas) (2024.2)\n", "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.11/dist-packages (from pandas) (2024.2)\n", "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (3.4.1)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (3.10)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (2.3.0)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (2024.12.14)\n" ] } ], "source": [ "!pip install huggingface_hub pandas" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 17, "referenced_widgets": [ "e8ce03452a074d9eb6728e087b368ed2", "35a027d34b45414ab1e0fa02e3c963ef", "51eda975a89e40368e9044b035c78ea4", "8806ac65c1224312a0a86e795ee68c48", "9eee0d24c4be474c8e49f9d5430f6e5f", "a572131b41c7411480c2d077b74bf4d6", "8f386f5b3b5a4b2fa03cc8c8b8160140", "2bb9207c214c4124a4137158206face6", "f025709bcf164d3b9f72a17211a4cb76", "0622e8c7a97b4f63b2583792dd5c6714", "a21ad5d9130e4760b3915ebc9aa35e19", "53bf7541ee9044c3bcb85ca5011d071b", "f66914590b174c2e92ed57f4e4bc383d", "ac0f255d5f4f49339125a8d5d2b89ad6", "358d0a2e351e480885f208925aa88ba7", "7de0479f56c343498e1f1c1441932462", "45e4ef83c5e94aed9da14b534f3d2e0c", "0d8748823faf49d2be43a206532b56e4", "cc4b3c4870b547d68ce204ba2fd73522", "416def283eb841da8e4fb66cb175942c" ] }, "id": "-KBQcoiuz-0C", "outputId": "42e0f573-5d8c-486a-ac22-87fb7bdebe5f" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "VBox(children=(HTML(value='
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This behaviour is the source of the following dependency conflicts.\n", "grpcio-status 1.62.3 requires protobuf>=4.21.6, but you have protobuf 3.20.3 which is incompatible.\n", "gcsfs 2024.10.0 requires fsspec==2024.10.0, but you have fsspec 2024.9.0 which is incompatible.\n", "tensorflow-metadata 1.16.1 requires protobuf<6.0.0dev,>=4.25.2; python_version >= \"3.11\", but you have protobuf 3.20.3 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed bitsandbytes-0.45.1 cut_cross_entropy-25.1.1 datasets-3.2.0 dill-0.3.8 fsspec-2024.9.0 hf_transfer-0.1.9 multiprocess-0.70.16 protobuf-3.20.3 shtab-1.7.1 trl-0.13.0 tyro-0.9.13 unsloth-2025.1.6 unsloth_zoo-2025.1.5 xformers-0.0.29.post1 xxhash-3.5.0\n" ] }, { "output_type": "display_data", "data": { "application/vnd.colab-display-data+json": { "pip_warning": { "packages": [ "google" ] }, "id": "6628030adbf74535b477723769edccfa" } }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: packaging in /usr/local/lib/python3.11/dist-packages (24.2)\n", "Collecting ninja\n", " Downloading ninja-1.11.1.3-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.metadata (5.3 kB)\n", "Requirement already satisfied: einops in /usr/local/lib/python3.11/dist-packages (0.8.0)\n", "Collecting flash-attn>=2.6.3\n", " Downloading flash_attn-2.7.3.tar.gz (3.2 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.2/3.2 MB\u001b[0m \u001b[31m97.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", "Using cached ninja-1.11.1.3-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (422 kB)\n", "Building wheels for collected packages: flash-attn\n", " Building wheel for flash-attn (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for flash-attn: filename=flash_attn-2.7.3-cp311-cp311-linux_x86_64.whl size=191363917 sha256=b1243e9b86687348a5ab03a073abacdf8e3d5e9e4b7e5326a183f47348c5dfba\n", " Stored in directory: /root/.cache/pip/wheels/d0/a3/f9/48d2706cb2eac05ec0dc144bf6954fe47bb3c2cd0de280765e\n", "Successfully built flash-attn\n", "Installing collected packages: ninja, flash-attn\n", "Successfully installed flash-attn-2.7.3 ninja-1.11.1.3\n" ] } ], "source": [ "! pip install unsloth --upgrade --no-cache-dir\n", "import torch\n", "if torch.cuda.get_device_capability()[0] >= 8:\n", " !pip install --no-deps packaging ninja einops \"flash-attn>=2.6.3\"" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 609, "referenced_widgets": [ "db9cf466dd444e1bb1245d2aac76173e", "3639d7e95bf54273b428e7192c4b8a04", "46683592b70e4cac8c17f5acff651b16", "6c58f3827a3447bfa1fe6847700fa129", "3a7b45e1491644d3a578bc46c93cc2f7", "a3eb2654825f42feb9138174d8403bd9", "17f9011a8b4c4ce6b75033b5a8b9cc01", "1ccc5ab9cc9b4b86980017e269c5f2fc", 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"outputId": "f3e1d359-42cf-406e-8926-558949bf4ba8" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "0it [00:00, ?it/s]" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "db9cf466dd444e1bb1245d2aac76173e" } }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "🦥 Unsloth Zoo will now patch everything to make training faster!\n", "==((====))== Unsloth 2025.1.6: Fast Gemma2 patching. Transformers: 4.47.1.\n", " \\\\ /| GPU: NVIDIA A100-SXM4-40GB. Max memory: 39.564 GB. Platform: Linux.\n", "O^O/ \\_/ \\ Torch: 2.5.1+cu121. CUDA: 8.0. CUDA Toolkit: 12.1. Triton: 3.1.0\n", "\\ / Bfloat16 = TRUE. FA [Xformers = 0.0.29.post1. 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