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" Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", " Building wheel for peft (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n" ] } ], "source": [ "!pip install -q datasets loralib sentencepiece accelerate bitsandbytes\n", "!pip install -q git+https://github.com/zphang/transformers@c3dc391\n", "!pip install -q git+https://github.com/huggingface/peft.git" ] }, { "cell_type": "code", "source": [ "import pickle\n", "import tqdm\n", "import pandas as pd\n", "from peft import PeftModel\n", "from transformers import LLaMATokenizer, LLaMAForCausalLM, GenerationConfig" ], "metadata": { "id": "g-iYv_rJ4knd" }, "execution_count": 3, "outputs": [] }, { "cell_type": "markdown", "source": [ "# Alpaca-7B Model Initialization" ], "metadata": { "papermill": { "duration": 0.006808, "end_time": "2023-04-03T13:20:39.122430", "exception": false, "start_time": "2023-04-03T13:20:39.115622", "status": "completed" }, "tags": [], "id": "bYhTT0Uy-LQL" } }, { "cell_type": "code", "source": [ "tokenizer = LLaMATokenizer.from_pretrained(\"decapoda-research/llama-7b-hf\")\n", "model = LLaMAForCausalLM.from_pretrained(\n", " \"decapoda-research/llama-7b-hf\",\n", " load_in_8bit=True,\n", " device_map=\"auto\",\n", ")\n", "model = PeftModel.from_pretrained(model, \"tloen/alpaca-lora-7b\")" ], "metadata": { "execution": { "iopub.status.busy": "2023-04-10T16:05:07.920813Z", "iopub.execute_input": "2023-04-10T16:05:07.921691Z", "iopub.status.idle": "2023-04-10T16:08:13.136333Z", "shell.execute_reply.started": "2023-04-10T16:05:07.921643Z", "shell.execute_reply": "2023-04-10T16:08:13.135306Z" }, "trusted": true, "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "ceeec7c9bcd44e2faedddae3a1433e9c", "6e2c121d312147978fdae47056b5e132", "6078397896a44e05aae3b959e7e574db", "9fd946bab953484fb4e1135198e1ac7e", 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"359bba17-0fa7-4535-b550-ea9c3b7b59ce" }, "execution_count": 2, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\n", "===================================BUG REPORT===================================\n", "Welcome to bitsandbytes. For bug reports, please run\n", "\n", "python -m bitsandbytes\n", "\n", " and submit this information together with your error trace to: https://github.com/TimDettmers/bitsandbytes/issues\n", "================================================================================\n", "bin /usr/local/lib/python3.9/dist-packages/bitsandbytes/libbitsandbytes_cuda118.so\n", "CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching in backup paths...\n", "CUDA SETUP: CUDA runtime path found: /usr/local/cuda/lib64/libcudart.so.11.0\n", "CUDA SETUP: Highest compute capability among GPUs detected: 7.5\n", "CUDA SETUP: Detected CUDA version 118\n", "CUDA SETUP: Loading binary /usr/local/lib/python3.9/dist-packages/bitsandbytes/libbitsandbytes_cuda118.so...\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/main.py:145: UserWarning: /usr/lib64-nvidia did not contain ['libcudart.so', 'libcudart.so.11.0', 'libcudart.so.12.0'] as expected! Searching further paths...\n", " warn(msg)\n", "/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/main.py:145: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/sys/fs/cgroup/memory.events /var/colab/cgroup/jupyter-children/memory.events')}\n", " warn(msg)\n", "/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/main.py:145: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('http'), PosixPath('//172.28.0.1'), PosixPath('8013')}\n", " warn(msg)\n", "/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/main.py:145: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('//colab.research.google.com/tun/m/cc48301118ce562b961b3c22d803539adc1e0c19/gpu-t4-s-d1hz6dtj943k --tunnel_background_save_delay=10s --tunnel_periodic_background_save_frequency=30m0s --enable_output_coalescing=true --output_coalescing_required=true'), PosixPath('--listen_host=172.28.0.12 --target_host=172.28.0.12 --tunnel_background_save_url=https')}\n", " warn(msg)\n", "/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/main.py:145: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/env/python')}\n", " warn(msg)\n", "/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/main.py:145: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('//ipykernel.pylab.backend_inline'), PosixPath('module')}\n", " warn(msg)\n", "/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/main.py:145: UserWarning: Found duplicate ['libcudart.so', 'libcudart.so.11.0', 'libcudart.so.12.0'] files: {PosixPath('/usr/local/cuda/lib64/libcudart.so.11.0'), PosixPath('/usr/local/cuda/lib64/libcudart.so')}.. We'll flip a coin and try one of these, in order to fail forward.\n", "Either way, this might cause trouble in the future:\n", "If you get `CUDA error: invalid device function` errors, the above might be the cause and the solution is to make sure only one ['libcudart.so', 'libcudart.so.11.0', 'libcudart.so.12.0'] in the paths that we search based on your env.\n", " warn(msg)\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "Downloading tokenizer.model: 0%| | 0.00/500k [00:00