diff --git a/air_llm/tests/test_notebooks/test_models_transformer_4_36_2_torch_2_1_2.ipynb b/air_llm/tests/test_notebooks/test_models_transformer_4_36_2_torch_2_1_2.ipynb
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index 0000000..5041847
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+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "107b9e88ed854bf680704227cfc2f950": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ }
+ }
+ }
+ },
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "view-in-github",
+ "colab_type": "text"
+ },
+ "source": [
+ "![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\")
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "# install airllm and transformers torch"
+ ],
+ "metadata": {
+ "id": "2b7k74ZdFwoA"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "UXiPut421lAf"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install -U airllm transformers torch"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "xgUac4sUGbDz",
+ "outputId": "b161b35e-4353-4896-e35b-1e71bbbaf9ac"
+ },
+ "execution_count": 1,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Collecting airllm\n",
+ " Downloading airllm-2.6-py3-none-any.whl (33 kB)\n",
+ "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.35.2)\n",
+ "Collecting transformers\n",
+ " Downloading transformers-4.36.2-py3-none-any.whl (8.2 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.2/8.2 MB\u001b[0m \u001b[31m24.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (2.1.0+cu121)\n",
+ "Collecting torch\n",
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+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m670.2/670.2 MB\u001b[0m \u001b[31m1.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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+ "Collecting accelerate (from airllm)\n",
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+ "Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch)\n",
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+ "\u001b[?25hCollecting nvidia-cuda-runtime-cu12==12.1.105 (from torch)\n",
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+ "\u001b[?25hCollecting nvidia-cuda-cupti-cu12==12.1.105 (from torch)\n",
+ " Downloading nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)\n",
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+ "\u001b[?25hCollecting nvidia-cudnn-cu12==8.9.2.26 (from torch)\n",
+ " Downloading nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m731.7/731.7 MB\u001b[0m \u001b[31m803.7 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting nvidia-cublas-cu12==12.1.3.1 (from torch)\n",
+ " Downloading nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)\n",
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+ "\u001b[?25hCollecting nvidia-cufft-cu12==11.0.2.54 (from torch)\n",
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+ "\u001b[?25hCollecting nvidia-cusolver-cu12==11.4.5.107 (from torch)\n",
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+ "\u001b[?25hCollecting nvidia-cusparse-cu12==12.1.0.106 (from torch)\n",
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+ "\u001b[?25hCollecting nvidia-nccl-cu12==2.18.1 (from torch)\n",
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+ "Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->optimum->airllm) (4.0.3)\n",
+ "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets->optimum->airllm) (2.8.2)\n",
+ "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets->optimum->airllm) (2023.3.post1)\n",
+ "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->datasets->optimum->airllm) (1.16.0)\n",
+ "Installing collected packages: sentencepiece, pyarrow-hotfix, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, humanfriendly, dill, nvidia-cusparse-cu12, nvidia-cudnn-cu12, multiprocess, coloredlogs, nvidia-cusolver-cu12, transformers, torch, datasets, accelerate, optimum, airllm\n",
+ " Attempting uninstall: transformers\n",
+ " Found existing installation: transformers 4.35.2\n",
+ " Uninstalling transformers-4.35.2:\n",
+ " Successfully uninstalled transformers-4.35.2\n",
+ " Attempting uninstall: torch\n",
+ " Found existing installation: torch 2.1.0+cu121\n",
+ " Uninstalling torch-2.1.0+cu121:\n",
+ " Successfully uninstalled torch-2.1.0+cu121\n",
+ "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+ "torchaudio 2.1.0+cu121 requires torch==2.1.0, but you have torch 2.1.2 which is incompatible.\n",
+ "torchdata 0.7.0 requires torch==2.1.0, but you have torch 2.1.2 which is incompatible.\n",
+ "torchtext 0.16.0 requires torch==2.1.0, but you have torch 2.1.2 which is incompatible.\n",
+ "torchvision 0.16.0+cu121 requires torch==2.1.0, but you have torch 2.1.2 which is incompatible.\u001b[0m\u001b[31m\n",
+ "\u001b[0mSuccessfully installed accelerate-0.25.0 airllm-2.6 coloredlogs-15.0.1 datasets-2.15.0 dill-0.3.7 humanfriendly-10.0 multiprocess-0.70.15 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.18.1 nvidia-nvjitlink-cu12-12.3.101 nvidia-nvtx-cu12-12.1.105 optimum-1.16.1 pyarrow-hotfix-0.6 sentencepiece-0.1.99 torch-2.1.2 transformers-4.36.2\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip list | grep transformers"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "ppWxaXVz2ues",
+ "outputId": "52b8acd5-b5f7-4e8e-f13e-c5598dc3aeeb"
+ },
+ "execution_count": 2,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "transformers 4.36.2\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip list | grep torch"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "0IB_Hk_N2xrX",
+ "outputId": "dbfd1efb-8c9b-43bc-ccb1-4a40d7c8d640"
+ },
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "torch 2.1.2\n",
+ "torchaudio 2.1.0+cu121\n",
+ "torchdata 0.7.0\n",
+ "torchsummary 1.5.1\n",
+ "torchtext 0.16.0\n",
+ "torchvision 0.16.0+cu121\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# copy local code for debugging\n",
+ "#!pip show airllm\n",
+ "#!cp ./*.py /usr/local/lib/python3.10/dist-packages/airllm/\n",
+ "#!rm ./airllm.py"
+ ],
+ "metadata": {
+ "id": "BZAkVJczEQ-y"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "# test Platypus2"
+ ],
+ "metadata": {
+ "id": "GBGevKQvEMi1"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from airllm import AutoModel\n",
+ "\n",
+ "MAX_LENGTH = 128\n",
+ "# could use hugging face model repo id:\n",
+ "model = AutoModel.from_pretrained(\"garage-bAInd/Platypus2-7B\", profiling_mode=True)\n",
+ "#model = AirLLMLlama2(\"garage-bAInd/Platypus2-7B\", profiling_mode=False)\n",
+ "\n",
+ "# or use model's local path...\n",
+ "#model = AirLLMLlama2(\"/home/ubuntu/.cache/huggingface/hub/models--garage-bAInd--Platypus2-70B-instruct/snapshots/b585e74bcaae02e52665d9ac6d23f4d0dbc81a0f\")\n",
+ "\n",
+ "input_text = [\n",
+ " #'What is the capital of China?',\n",
+ " 'I like',\n",
+ " ]\n",
+ "\n",
+ "input_tokens = model.tokenizer(input_text,\n",
+ " return_tensors=\"pt\",\n",
+ " return_attention_mask=False,\n",
+ " truncation=True,\n",
+ " max_length=MAX_LENGTH,\n",
+ " #padding=True\n",
+ " )\n",
+ "\n",
+ "generation_output = model.generate(\n",
+ " input_tokens['input_ids'].cuda(),\n",
+ " max_new_tokens=3,\n",
+ " use_cache=True,\n",
+ " return_dict_in_generate=True)\n",
+ "\n",
+ "model.tokenizer.decode(generation_output.sequences[0])"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
+ "referenced_widgets": [
+ "4ad20b1910bc4632afa7a8809985cc31",
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+ "1ef4b7fadaef4d798f0185c10a05c647",
+ "36e62b64f7fb4e89aa575a4091a16712",
+ "a6a60142dc5846faab7b7a04ed7fa196",
+ "a0c8edf4fd15416eb0386141f94f0d9e",
+ "03314cd6741745ab938d8b630516af36",
+ "09af3daa4fb5417ba263505ed8d71c5b",
+ "7b29675166bc4ea883b7f2fc4fb2e40f",
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+ "40e94f349f1e49379934571109b6a391",
+ "d98a18dbfecb4969b4786ee8a8ecbb1f",
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+ "4d8d2df144be49eea0aefa84f41c7d8b",
+ "7e6b25092e924b5dabae620a26200dea",
+ "48a6912745eb48f0b2100cabcd36cbe2",
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+ "cd554264d3334c85b5d91e953ba0cf82",
+ "dfc2d96d589d4b6fbb14ac99a3aec34c",
+ "b93a22937f284ee5a695171acef52176",
+ "4f5e0f2f708641b49d383d9b11728358",
+ "d84f475832cd4ad08ef7377f3379809b",
+ "6fefc33576454199ab41c1fd3fcb80bc",
+ "4d75a7ff0eb3461d8207565a40864284",
+ "08f24bc561c043aeae0be1c00119bd3d",
+ "a0961810605b46679d6899629a81fff5",
+ "70b50165aa4c4ed99f1579483a76224e",
+ "7d06090a2872419883c7e72161a5b641",
+ "088af6f0f1cf44318e61e01ca14cce55",
+ "4cff0c3866404a81b34a5cad4232696e",
+ "4986160022a14955b1dc936f4af0a030",
+ "d3a6201d20ea4cc5b5203d7aa74a74b6",
+ "5df6cad2d29f4cb2b4ff4bedabe9fa7f",
+ "2ff92cc2c9c04d65a40d7daa49ee6962",
+ "5ab31554f29f4d72ae8f80432c20d8c4",
+ "c314daea6404420e852830728b32cb21",
+ "956f0433037741a491ce96d8cd501518",
+ "00edbdd67ff144bc903ae125ee99f4a7",
+ "381e34ddbe424f8cae041c632c81e500",
+ "d0181e07f1cc4693a92632ae0e91339f",
+ "8b092959095d4b7291085e8096570f0a",
+ "971f42b51126432b8358428d0b160280",
+ "3fc82c421a164069980640028549c033",
+ "79fe73f5a4624bf28c411b5d03a103e2",
+ "62ea71758470445cbead6ec1e72e8b93",
+ "a4b840286ef2491bb5c9ffbe29fb5781",
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+ "c6d6246b7f09476a96fb49babff0d2ed",
+ "63aec894241945c59c0c7219b1d9b51e",
+ "f75b2aa366f34bb5bc73d5c22cb4df60",
+ "a623e2366d134342baea9100fbc5297c",
+ "bf9ec78e82ad42dea2ef214f95754e65",
+ "0cfa97948e7a4cd6887e49f1aa85d71f",
+ "f526b936bdf4448f9a5489f40a2c1b17",
+ "5a830f4edc59481baa7541b96b2b7a76",
+ "aee4b84b706f489b8c986ca0ec34aed4",
+ "fd62ba17c2084dccb9e95fd9413f2fc8",
+ "be4b36ad34a74c17a6e05ad780f1dd27",
+ "c2605f246dd840cfa93c71b3e5736689",
+ "a887c43c56f14d1ea15192bbf39aecd1",
+ "29a592607dda434089f0393b160e7120",
+ "bc9fc38bde6747c08d2b9c7cfce1d43e",
+ "fbea7d7495634d5a89d1b97cea8768d9",
+ "f834cfa05b2946b9a00478c45634936c",
+ "e238a1b5d1c44deb9822eb9a20425515",
+ "947afd722b9d4ae6bf63fba3dd223be7",
+ "a76bacce494640f4a086caa8f44aa4c4",
+ "6e317803e14644f58dea2905c7237110",
+ "38605937185d4d9585d55ff5720300dc",
+ "f4ccb8049f414ec5af2403231cefcf10",
+ "9e484e3e04e64f859aac7d699427955c",
+ "1902ae6443b44aaf92cb15fc52366be9",
+ "b199532326c249baa10481e5cc33341e",
+ "da78de98ef7d4fe1b9296728eb46bfc2",
+ "e718e3935bd24086abd9d1403cea210e",
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+ "aa2e7088f9f6430db1df631632328557",
+ "ddf76e44d34149e08de21ae1f7a9adb6",
+ "80d42b9dbfcf4a6c89ea7413271049bc",
+ "7b6ebe783bad46e483d493aeea2ab61e",
+ "4f23a579b82142928d9ff8c649d15b3e",
+ "7ad8f759b57e48a2be41f6e7d34f40a3",
+ "4ad5139c7c954c739d93b2594bdda2f5",
+ "0d9a45c7b1194d1d961226fec9a4aef1",
+ "69b066e7793c45c4ba8b348fb1beea8e",
+ "731c0dc2aef0412397ccc0219ccc796f",
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+ "deb36465a48f402092da3b5bf2d978a4",
+ "07653a52f5fa48a9af5280c843d42438",
+ "c85d49f11ecc43d8b6aa65d805110990",
+ "f4d3930be09743618d6190b78bc9523e",
+ "8c5984297b5049c9a1ba1d4d1c32b71d",
+ "6ddab7299a854912a041a75b875b9725",
+ "157930381cec4a518abe932eef571f61",
+ "feaf6743342744068a35e4ace7eb1d3f",
+ "ba53ff80308a4bf8ac6cb8ab62c29ee6",
+ "6468cb3a91c04f1c85b676189390623f",
+ "601c12b4e86e44ab88f13be18d59b1e8",
+ "79da2c996e394355b2fa28348c60b2e9",
+ "3bbcd1cb00604b5cb0d58f7a6bdcf7f5",
+ "2e048dee230649d5b612d8639ebd019d",
+ "62e03e629ed34803b3c1e57c313293d9",
+ "aa779aacc1c54ad6b6feedffa91eac48",
+ "dada000d3eea447897d86aecec5353cd",
+ "1eaf8affc5dd4f09933b6452a1f93e21",
+ "fb961aca706441d99ca7877790088f92",
+ "e8667302e25742bdb740cc811c56a148",
+ "741db1c2fa9844b39bc2fdf4b76874d7",
+ "f2c9070ee565467a99053a7bba8ffe54",
+ "ce623d49472a4207bbbb32636672546b",
+ "2586e693a47640389391a4851c4385b0",
+ "6c48d09aadf542f2b807fa4553381d58",
+ "74da273251574d58b10edf3ae618be7a"
+ ]
+ },
+ "id": "eIIw0Qy_GoZt",
+ "outputId": "7f59c055-33c6-4e5f-dd24-f16c0ed482ac"
+ },
+ "execution_count": 4,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ ">>>> cache_utils installed\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "config.json: 0%| | 0.00/625 [00:00\n",
+ "new version of transfomer, no need to use BetterTransformer, try setting attn impl to sdpa...\n",
+ "attn imp: \n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "cuda:0: 100%|██████████| 35/35 [01:04<00:00, 1.84s/it]\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "total time for load_safe_tensor: 1.1101220474658362\n",
+ "total time for compression_time: 0.0007654799999841089\n",
+ "total time for pin_memory_to_trigger_load: 59.261908531188965\n",
+ "total time for load_safe_tensor_cpu_wait: 47.84440994262695\n",
+ "total time for create_layer_from_state_dict: 3.110097646713257\n",
+ "total time for kick_off_load_cpu: 0.002074718475341797\n",
+ "total infer process time(including all above plus gpu compute): 24.9389\n",
+ "total infer wall time(including all above plus gpu compute): 65.7340\n",
+ "new version of transfomer, no need to use BetterTransformer, try setting attn impl to sdpa...\n",
+ "attn imp: \n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "cuda:0: 100%|██████████| 35/35 [01:03<00:00, 1.81s/it]\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "total time for load_safe_tensor: 0.9445362456743851\n",
+ "total time for compression_time: 0.0007772079999313064\n",
+ "total time for pin_memory_to_trigger_load: 58.167500257492065\n",
+ "total time for load_safe_tensor_cpu_wait: 47.299771308898926\n",
+ "total time for create_layer_from_state_dict: 3.165720224380493\n",
+ "total time for kick_off_load_cpu: 0.002129077911376953\n",
+ "total infer process time(including all above plus gpu compute): 24.8441\n",
+ "total infer wall time(including all above plus gpu compute): 64.7308\n",
+ "new version of transfomer, no need to use BetterTransformer, try setting attn impl to sdpa...\n",
+ "attn imp: \n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "cuda:0: 100%|██████████| 35/35 [01:03<00:00, 1.82s/it]"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "total time for load_safe_tensor: 0.9532725070376102\n",
+ "total time for compression_time: 0.0008025910001094871\n",
+ "total time for pin_memory_to_trigger_load: 58.17424297332764\n",
+ "total time for load_safe_tensor_cpu_wait: 47.72071886062622\n",
+ "total time for create_layer_from_state_dict: 3.1395955085754395\n",
+ "total time for kick_off_load_cpu: 0.0021560192108154297\n",
+ "total infer process time(including all above plus gpu compute): 24.8212\n",
+ "total infer wall time(including all above plus gpu compute): 64.9236\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "\n"
+ ]
+ },
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "' I like to think of'"
+ ],
+ "application/vnd.google.colaboratory.intrinsic+json": {
+ "type": "string"
+ }
+ },
+ "metadata": {},
+ "execution_count": 4
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "# test mistral"
+ ],
+ "metadata": {
+ "id": "jwnmFERfREyx"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from airllm import AutoModel\n",
+ "\n",
+ "MAX_LENGTH = 128\n",
+ "# could use hugging face model repo id:\n",
+ "model = AutoModel.from_pretrained(\"mistralai/Mistral-7B-Instruct-v0.1\", profiling_mode=True)\n",
+ "\n",
+ "# or use model's local path...\n",
+ "#model = AirLLMLlama2(\"/home/ubuntu/.cache/huggingface/hub/models--garage-bAInd--Platypus2-70B-instruct/snapshots/b585e74bcaae02e52665d9ac6d23f4d0dbc81a0f\")\n",
+ "\n",
+ "input_text = [\n",
+ " #'What is the capital of China?',\n",
+ " 'I like',\n",
+ " ]\n",
+ "\n",
+ "input_tokens = model.tokenizer(input_text,\n",
+ " return_tensors=\"pt\",\n",
+ " return_attention_mask=False,\n",
+ " truncation=True,\n",
+ " max_length=MAX_LENGTH,\n",
+ " #padding=True\n",
+ " )\n",
+ "\n",
+ "generation_output = model.generate(\n",
+ " input_tokens['input_ids'].cuda(),\n",
+ " max_new_tokens=3,\n",
+ " use_cache=True,\n",
+ " return_dict_in_generate=True)\n",
+ "\n",
+ "model.tokenizer.decode(generation_output.sequences[0])"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
+ "referenced_widgets": [
+ "0feef1a5db084d0daaf7088d9fae6767",
+ "f65154cf089d42e3b51a01c4d8e3dd34",
+ "883a336e16ac4ecb8e3095ea581d1f17",
+ "9ad8af9f9e8a4fdbb8ded0d1d46027ae",
+ "82bd8fb0e2b64adcadab1df7e902ff94",
+ "f353e6e641fd49a5a58992943838f1e2",
+ "643cbe53c05f4912b463d2f4e5c975bf",
+ "d25cd57cf8d24a07a4349ee5db7af049",
+ "19e051c187ce438fae02e2d857ae6c6e",
+ "065d7ad76c02467f90f7978ebb138d49",
+ "ce245895bd3d4c5d877e40006c527361",
+ "ea173bda29c5472e8894fb9fc40dd71a",
+ "8986390793b74486a374751d6ae45bae",
+ "7d34f19ff2a14b51b54157ecf501d554",
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+ },
+ "id": "jA7GQJAKRHEJ",
+ "outputId": "2f9b926e-2247-43b3-fb9f-6bb441fef5ea"
+ },
+ "execution_count": 8,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "config.json: 0%| | 0.00/571 [00:00 I like to think of'"
+ ],
+ "application/vnd.google.colaboratory.intrinsic+json": {
+ "type": "string"
+ }
+ },
+ "metadata": {},
+ "execution_count": 8
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "# test qwen"
+ ],
+ "metadata": {
+ "id": "EsZ8RCaSmgSh"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install tiktoken einops transformers_stream_generator"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "dHNRzbDNt6uc",
+ "outputId": "1ad5f653-6cc0-411b-9eae-ab2fc47eab82"
+ },
+ "execution_count": 1,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Collecting tiktoken\n",
+ " Downloading tiktoken-0.5.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.0/2.0 MB\u001b[0m \u001b[31m8.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting einops\n",
+ " Downloading einops-0.7.0-py3-none-any.whl (44 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m44.6/44.6 kB\u001b[0m \u001b[31m3.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting transformers_stream_generator\n",
+ " Downloading transformers-stream-generator-0.0.4.tar.gz (12 kB)\n",
+ " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ "Requirement already satisfied: regex>=2022.1.18 in /usr/local/lib/python3.10/dist-packages (from tiktoken) (2023.6.3)\n",
+ "Requirement already satisfied: requests>=2.26.0 in /usr/local/lib/python3.10/dist-packages (from tiktoken) (2.31.0)\n",
+ "Requirement already satisfied: transformers>=4.26.1 in /usr/local/lib/python3.10/dist-packages (from transformers_stream_generator) (4.36.2)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken) (3.3.2)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken) (3.6)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken) (2.0.7)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken) (2023.11.17)\n",
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (3.13.1)\n",
+ "Requirement already satisfied: huggingface-hub<1.0,>=0.19.3 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (0.19.4)\n",
+ "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (1.23.5)\n",
+ "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (23.2)\n",
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (6.0.1)\n",
+ "Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (0.15.0)\n",
+ "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (0.4.1)\n",
+ "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (4.66.1)\n",
+ "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.19.3->transformers>=4.26.1->transformers_stream_generator) (2023.6.0)\n",
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.19.3->transformers>=4.26.1->transformers_stream_generator) (4.5.0)\n",
+ "Building wheels for collected packages: transformers_stream_generator\n",
+ " Building wheel for transformers_stream_generator (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Created wheel for transformers_stream_generator: filename=transformers_stream_generator-0.0.4-py3-none-any.whl size=12316 sha256=d5767bd8bfc8932ede6d8f73671ea9fb2295a8d66cbd54f657c48ab3b77f0c93\n",
+ " Stored in directory: /root/.cache/pip/wheels/47/1d/3c/92d88493ed40c0d9be60a391eb76c9a56e9f9b7542cb789401\n",
+ "Successfully built transformers_stream_generator\n",
+ "Installing collected packages: einops, tiktoken, transformers_stream_generator\n",
+ "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+ "llmx 0.0.15a0 requires cohere, which is not installed.\n",
+ "llmx 0.0.15a0 requires openai, which is not installed.\u001b[0m\u001b[31m\n",
+ "\u001b[0mSuccessfully installed einops-0.7.0 tiktoken-0.5.2 transformers_stream_generator-0.0.4\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from airllm import AutoModel\n",
+ "\n",
+ "MAX_LENGTH = 128\n",
+ "# could use hugging face model repo id:\n",
+ "model = AutoModel.from_pretrained(\"Qwen/Qwen-7B\", profiling_mode=True)\n",
+ "\n",
+ "# or use model's local path...\n",
+ "#model = AirLLMLlama2(\"/home/ubuntu/.cache/huggingface/hub/models--garage-bAInd--Platypus2-70B-instruct/snapshots/b585e74bcaae02e52665d9ac6d23f4d0dbc81a0f\")\n",
+ "\n",
+ "input_text = [\n",
+ " #'What is the capital of China?',\n",
+ " 'I like',\n",
+ " ]\n",
+ "\n",
+ "input_tokens = model.tokenizer(input_text,\n",
+ " return_tensors=\"pt\",\n",
+ " return_attention_mask=False,\n",
+ " truncation=True,\n",
+ " max_length=MAX_LENGTH,\n",
+ " #padding=True\n",
+ " )\n",
+ "\n",
+ "generation_output = model.generate(\n",
+ " input_tokens['input_ids'].cuda(),\n",
+ " max_new_tokens=3,\n",
+ " use_cache=True,\n",
+ " return_dict_in_generate=True)\n",
+ "\n",
+ "model.tokenizer.decode(generation_output.sequences[0])"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
+ "referenced_widgets": [
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+ ]
+ },
+ "id": "NzrE0k5umf3b",
+ "outputId": "09bcb2ef-2d35-413a-9b86-44e9e15926db"
+ },
+ "execution_count": 2,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ ">>>> cache_utils installed\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "config.json: 0%| | 0.00/911 [00:00