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\u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h" ] } ], "source": [ "!pip install -qU bitsandbytes transformers datasets accelerate loralib einops xformers" ] }, { "cell_type": "code", "source": [ "!pip install -q -U git+https://github.com/huggingface/peft.git" ], "metadata": { "id": "qucyrwRiPfRd", "outputId": "237d237b-13e1-4b6a-e448-97ba4fd6cec5", "colab": { "base_uri": "https://localhost:8080/" } }, "execution_count": 2, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " 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" ] } ] }, { "cell_type": "code", "source": [ "!nvidia-smi" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "QDWlM5OwUIGv", "outputId": "bda78690-edb3-43f9-f3c2-eeed84afef6e" }, "execution_count": 3, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Fri Jun 23 20:41:12 2023 \n", "+-----------------------------------------------------------------------------+\n", "| NVIDIA-SMI 525.85.12 Driver Version: 525.85.12 CUDA Version: 12.0 |\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 44C 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" ] } ] }, { "cell_type": "code", "source": [ "from peft import *" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ieG4YcWp9reY", "outputId": "2b2e5741-00aa-4c31-c921-cca5a78e79d3" }, "execution_count": 4, "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/python3.10/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/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cuda118.so...\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.10/dist-packages/bitsandbytes/cuda_setup/main.py:149: 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/python3.10/dist-packages/bitsandbytes/cuda_setup/main.py:149: 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/python3.10/dist-packages/bitsandbytes/cuda_setup/main.py:149: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('8013'), PosixPath('http'), PosixPath('//172.28.0.1')}\n", " warn(msg)\n", "/usr/local/lib/python3.10/dist-packages/bitsandbytes/cuda_setup/main.py:149: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('--logtostderr --listen_host=172.28.0.12 --target_host=172.28.0.12 --tunnel_background_save_url=https'), PosixPath('//colab.research.google.com/tun/m/cc48301118ce562b961b3c22d803539adc1e0c19/gpu-t4-hm-3i7ner3xg3yvq --tunnel_background_save_delay=10s --tunnel_periodic_background_save_frequency=30m0s --enable_output_coalescing=true --output_coalescing_required=true')}\n", " warn(msg)\n", "/usr/local/lib/python3.10/dist-packages/bitsandbytes/cuda_setup/main.py:149: 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/python3.10/dist-packages/bitsandbytes/cuda_setup/main.py:149: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('module'), PosixPath('//ipykernel.pylab.backend_inline')}\n", " warn(msg)\n", "/usr/local/lib/python3.10/dist-packages/bitsandbytes/cuda_setup/main.py:149: 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" ] } ] }, { "cell_type": "code", "source": [ "from transformers import (\n", " AutoConfig,\n", " AutoModelForCausalLM,\n", " AutoTokenizer,\n", " BitsAndBytesConfig,\n", ")" ], "metadata": { "id": "hltZjBFw_gLY" }, "execution_count": 5, "outputs": [] }, { "cell_type": "code", "source": [ "import bitsandbytes as bnb\n", "import torch" ], "metadata": { "id": "fRPZpVu3_j7h" }, "execution_count": 8, "outputs": [] }, { "cell_type": "code", "source": [ "bnb_config = BitsAndBytesConfig(\n", " load_in_4bit=True,\n", " load_4bit_use_double_quant=True,\n", " bnb_4bit_quant_type=\"nf4\",\n", " bnb_4bit_compute_dtype=torch.bfloat16,\n", ")" ], "metadata": { "id": "SEr7sWod_qhQ" }, "execution_count": 9, "outputs": [] }, { "cell_type": "code", "source": [ "peft_model_id = \"Amod/falcon7b-fine-tuned-therapy\"\n", "config = PeftConfig.from_pretrained(peft_model_id)\n", "model = AutoModelForCausalLM.from_pretrained(\n", " config.base_model_name_or_path,\n", " return_dict=True,\n", " quantization_config=bnb_config,\n", " device_map=\"auto\",\n", " trust_remote_code=True,\n", ")\n", "tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)\n", "tokenizer.pad_token = tokenizer.eos_token\n", "\n", "\n", "model = PeftModel.from_pretrained(model, peft_model_id)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 589, "referenced_widgets": [ "62eb9b4596ec4f8bab40866a186f1b7c", "c75ff905cc604963b26460716382194c", "bbdd0922b2804d9c8c3d9d967e8afce4", "36ac6cf4ef8c491cbfdeb33901250479", "c050bf3ca8d740bd8d9d3f7506e18be5", 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"17dcb02c566143b9918fab7e2cf2b468", "a68ab7416dec459fbc560be93c3f5a38", "cd1462ff46ca4688aecce4d5f774f5e2", "31860657a8a44d31bba87b484e04c742", "7cdeccf1124945ffab98c76939450bee", "74233dfd96ec43218c574ae86a8eee5f", "7d79f6af031f438e9cb4e7f0becf9fa8", "0080b0af5c4f427099c649222b2e2cc3", "f3819874ffaa49cc8d6623561dcd8239", "7e7f72f05a9f44c8aca7b520ed481546", "85e57ffa1b314038889a68cf05a6a6a0", "bf0ac558d7c04561843b76e4ceda858f", "8bb37e34e3ef49c4968d8c27fecb6e4c", "1523c5a619924baab4f8fc3bf16ccf4c" ] }, "id": "IhONN8lgJ9Ba", "outputId": "edc50d83-0da5-4297-ac7b-68efac90895f" }, "execution_count": 10, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Downloading (…)/adapter_config.json: 0%| | 0.00/419 [00:00 str:\n", " prompt = f\"\"\"\n", " : {question}\n", " :\n", " \"\"\".strip()\n", " encoding = tokenizer(prompt, return_tensors=\"pt\").to(DEVICE)\n", " with torch.inference_mode():\n", " outputs = model.generate(\n", " input_ids=encoding.input_ids,\n", " attention_mask=encoding.attention_mask,\n", " generation_config=generation_config,\n", " )\n", " response = tokenizer.decode(outputs[0],skip_special_tokens=True)\n", "\n", " assistant_start = ':'\n", " response_start = response.find(assistant_start)\n", " return response[response_start + len(assistant_start):].strip()" ], "metadata": { "id": "mQPS-7pg93-g" }, "execution_count": 13, "outputs": [] }, { "cell_type": "code", "source": [ "prompt = \"I am depressed because of te toxic workplace i am in. I am an intern and i always get verbally abused\"\n", "print(generate_response(prompt))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "-W2KWiAF-LFq", "outputId": "fd1d53b6-638d-452b-f9fe-3378e8b7979f" }, "execution_count": 14, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "I'm sorry to hear that you are being treated this way. It's important to remember that you have the right to speak up for yourself and to advocate for yourself. It's also important to remember that you are not responsible for the behavior of your employer. You can't control how they treat you, but you can control how you react to them. I would suggest that you start by talking to your supervisor about how you are being treated. If that doesn't work, then you can consider talking to HR. If that doesn't work, then you can consider filing a complaint with the Department of Labor. I would also suggest that you start keeping a journal of the behavior that you are experiencing. This will help you to keep track of what is going on and help you to stay focused on your goal of finding a new job. I wish you the best of luck! :) :) :) :) :) :) :) :) :)\n" ] } ] }, { "cell_type": "markdown", "source": [ "I'm sorry to hear that you are being treated this way. It's important to remember that you have the right to speak up for yourself and to advocate for yourself. It's also important to remember that you are not responsible for the behavior of your employer. You can't control how they treat you, but you can control how you react to them. I would suggest that you start by talking to your supervisor about how you are being treated. If that doesn't work, then you can consider talking to HR. If that doesn't work, then you can consider filing a complaint with the Department of Labor. I would also suggest that you start keeping a journal of the behavior that you are experiencing. This will help you to keep track of what is going on and help you to stay focused on your goal of finding a new job. I wish you the best of luck! :) :) :) :) :) :) :) :) :)\n" ], "metadata": { "id": "1xv2aa_P-M-p" } }, { "cell_type": "code", "source": [], "metadata": { "id": "N-wzyglcBrQ5" }, "execution_count": null, "outputs": [] } ] }