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+ "source": [ + "!pip install -U mlx-vlm" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "7OPCquxLmfUj", + "outputId": "f752c360-a4eb-4afb-a6be-18e708d8eeb7" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting mlx-vlm\n", + " Downloading mlx_vlm-0.1.7-py3-none-any.whl.metadata (3.8 kB)\n", + "Collecting mlx>=0.18.1 (from mlx-vlm)\n", + " Downloading mlx-0.21.1-cp310-cp310-manylinux_2_31_x86_64.whl.metadata (5.1 kB)\n", + "Collecting datasets>=2.19.1 (from mlx-vlm)\n", + " Downloading datasets-3.2.0-py3-none-any.whl.metadata (20 kB)\n", + "Requirement already satisfied: tqdm>=4.66.2 in /usr/local/lib/python3.10/dist-packages (from mlx-vlm) (4.67.1)\n", + "Requirement already satisfied: numpy>=1.23.4 in /usr/local/lib/python3.10/dist-packages (from mlx-vlm) (1.26.4)\n", + "Requirement already satisfied: transformers>=4.47.1 in /usr/local/lib/python3.10/dist-packages (from 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markupsafe, fsspec, ffmpy, dill, aiofiles, starlette, multiprocess, safehttpx, gradio-client, fastapi, gradio, datasets, mlx-vlm\n", + " Attempting uninstall: markupsafe\n", + " Found existing installation: MarkupSafe 3.0.2\n", + " Uninstalling MarkupSafe-3.0.2:\n", + " Successfully uninstalled MarkupSafe-3.0.2\n", + " Attempting uninstall: fsspec\n", + " Found existing installation: fsspec 2024.10.0\n", + " Uninstalling fsspec-2024.10.0:\n", + " Successfully uninstalled fsspec-2024.10.0\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", + "gcsfs 2024.10.0 requires fsspec==2024.10.0, but you have fsspec 2024.9.0 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0mSuccessfully installed aiofiles-23.2.1 datasets-3.2.0 dill-0.3.8 fastapi-0.115.6 ffmpy-0.5.0 fsspec-2024.9.0 gradio-5.9.1 gradio-client-1.5.2 markupsafe-2.1.5 mlx-0.21.1 mlx-vlm-0.1.7 multiprocess-0.70.16 pydub-0.25.1 python-multipart-0.0.20 ruff-0.8.4 safehttpx-0.1.6 semantic-version-2.10.0 starlette-0.41.3 tomlkit-0.13.2 uvicorn-0.34.0 xxhash-3.5.0\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip install mlx-lm" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "IWp8TRZMmfrE", + "outputId": "0f4136c3-1f12-4056-d544-a0ac61fda4ba" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting mlx-lm\n", + " Downloading mlx_lm-0.20.5-py3-none-any.whl.metadata (9.2 kB)\n", + "Requirement already satisfied: mlx>=0.19.2 in /usr/local/lib/python3.10/dist-packages (from mlx-lm) (0.21.1)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from mlx-lm) (1.26.4)\n", + "Requirement already satisfied: transformers>=4.39.3 in /usr/local/lib/python3.10/dist-packages (from transformers[sentencepiece]>=4.39.3->mlx-lm) (4.47.1)\n", + "Requirement already satisfied: protobuf in /usr/local/lib/python3.10/dist-packages (from mlx-lm) (4.25.5)\n", + "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from mlx-lm) (6.0.2)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from mlx-lm) (3.1.4)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (3.16.1)\n", + "Requirement already satisfied: huggingface-hub<1.0,>=0.24.0 in 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already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (3.4.0)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (3.10)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (2.2.3)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (2024.12.14)\n", + "Downloading mlx_lm-0.20.5-py3-none-any.whl (133 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m133.1/133.1 kB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hInstalling collected packages: mlx-lm\n", + "Successfully installed mlx-lm-0.20.5\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from mlx_lm import load\n", + "load(\"unsloth/QVQ-72B-Preview-bnb-4bit\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000, + "referenced_widgets": [ + "6ca10eee9d034cda99df4ba0cf936eff", + "6084be40a10741bf80398a6621b11cb1", + "13d982253f4f42c3b7e031929bd07ab6", + "00bb975615234fdeaf668951a208aa05", + "55ab24b28f32431c9df6601cec6e26fb", + "71fe3aec106b434cac37071279ece106", + "cc1da7360c284cab926b3a3bcf62e7f3", + "a500e14738cc45ddad6cbd0ac267c725", + "0f39fb45e1334e95aa55bbfdce5fa080", + "e9281203355842d8b0b0351ad260888e", + "53e069113f314b5cae4efd6dbd47220a", + "d2f8f666c16c4afe9cb3668173d3ac79", + "96ccecadfc7c4eddb676959b1eb398bb", + "d97fe6dc48574c8db06096784e67934c", + "8a327087a9724f0e84021de278dfcfd2", + "3e7e36ac9bef45d49b7e579935a47638", + "14d543a370904ec1a6464b5df9943f5d", + 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"39f82b764f30445abaf4205973f4afc1", + "dbb131c3d32244ebb04eb4723fb7fdf8", + "c4f6819e5fc54e38ba15dfac19047059", + "aae92fbb6f2b4ee290cadc568af10b1e", + "53803e454fe8456f8f8da5fab792f9b7", + "7608354fed854ce5a781fe7cbddfcd1a" + ] + }, + "collapsed": true, + "id": "c-uxAI7FoUR8", + "outputId": "c8796443-f62d-456a-80df-dfcd02c61b60" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n", + "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", + "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", + "You will be able to reuse this secret in all of your notebooks.\n", + "Please note that authentication is recommended but still optional to access public models or datasets.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Fetching 20 files: 0%| | 0/20 [00:00 123\u001b[0;31m \u001b[0march\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimportlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimport_module\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"mlx_lm.models.{model_type}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 124\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mImportError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.10/importlib/__init__.py\u001b[0m in \u001b[0;36mimport_module\u001b[0;34m(name, package)\u001b[0m\n\u001b[1;32m 125\u001b[0m \u001b[0mlevel\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 126\u001b[0;31m \u001b[0;32mreturn\u001b[0m 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exception, another exception occurred:\n", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mmlx_lm\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mload\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"unsloth/QVQ-72B-Preview-bnb-4bit\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/mlx_lm/utils.py\u001b[0m in \u001b[0;36mload\u001b[0;34m(path_or_hf_repo, tokenizer_config, model_config, adapter_path, lazy)\u001b[0m\n\u001b[1;32m 571\u001b[0m \u001b[0mmodel_path\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0mget_model_classes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 509\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 510\u001b[0m \u001b[0mmodel_args\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel_args_class\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/mlx_lm/utils.py\u001b[0m in \u001b[0;36m_get_classes\u001b[0;34m(config)\u001b[0m\n\u001b[1;32m 125\u001b[0m \u001b[0mmsg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34mf\"Model type {model_type} not supported.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0mlogging\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 129\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0march\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mModel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0march\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mModelArgs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mValueError\u001b[0m: Model type qwen2_vl not supported." + ] + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "np7q9obFq75A" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "OeTGXO2gnjpi" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "6PDs_BUQux_x", + "outputId": "7c6eef76-3b21-47bf-983e-0c108f210e5c" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "0\n", + "2097152\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip install qwen-vl-utils\n", + "!pip install bitsandbytes\n", + "!pip install autoawq" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "t5WPiYojtIom", + "outputId": "616add0e-c610-4da8-dcf1-574539ce72eb" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: qwen-vl-utils in /usr/local/lib/python3.10/dist-packages (0.0.8)\n", + "Requirement already satisfied: av in /usr/local/lib/python3.10/dist-packages (from qwen-vl-utils) (14.0.1)\n", + "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from qwen-vl-utils) (24.2)\n", + "Requirement already satisfied: pillow in /usr/local/lib/python3.10/dist-packages (from qwen-vl-utils) (11.0.0)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from qwen-vl-utils) (2.32.3)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->qwen-vl-utils) (3.4.0)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->qwen-vl-utils) (3.10)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->qwen-vl-utils) (2.2.3)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->qwen-vl-utils) (2024.12.14)\n", + 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zstandard-0.23.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.4 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.4/5.4 MB\u001b[0m \u001b[31m94.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hInstalling collected packages: zstandard, triton, autoawq\n", + "Successfully installed autoawq-0.2.7.post3 triton-3.1.0 zstandard-0.23.0\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "nfjIQrPQxynV" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from transformers import Qwen2VLForConditionalGeneration, AutoTokenizer, AutoProcessor\n", + "from qwen_vl_utils import process_vision_info\n", + "import torch\n", + "\n", + "\n", + "# default: Load the model on the available device(s)\n", + "model = Qwen2VLForConditionalGeneration.from_pretrained(\n", + " \"unsloth/QVQ-72B-Preview-bnb-4bit\",\n", + " load_in_8bit=True,\n", + " torch_dtype=torch.bfloat16,\n", + " low_cpu_mem_usage=True,\n", + " trust_remote_code=True,\n", + ")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 277, + "referenced_widgets": [ + "6b87ab4412c841ef9183c08799412a40", + "0f30ec82c834418fa4543b732e95d1ee", + "e16fec6f463d42f9ad5c6b84322fdeb7", + "a991b3851ee940ed8a83c894e6e31e0e", + "bfbcd22e35084ab6b84780101d37fce2", + "4805028a604c4bb293cf33686c458964", + "164697dff2d5480b97cdf4bee78af254", + "e638e0f81ef94f13a70c51f3dfea653f", + "dbfb93ec34b44eacb9fb1d508dda6503", + "d46d7960f1534f92807102f4693fab46", + "61bc3373622f4bd899f6d0aa941ebd28" + ] + }, + "id": "yldtNG9cmft2", + "outputId": "b03b7e34-ae34-495a-cdda-2fca58c308c5" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.\n", + "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n", + "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", + "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", + "You will be able to reuse this secret in all of your notebooks.\n", + "Please note that authentication is recommended but still optional to access public models or datasets.\n", + " warnings.warn(\n", + "The `load_in_4bit` and `load_in_8bit` arguments are deprecated and will be removed in the future versions. Please, pass a `BitsAndBytesConfig` object in `quantization_config` argument instead.\n", + "Unused kwargs: ['_load_in_4bit', '_load_in_8bit', 'quant_method']. These kwargs are not used in .\n", + "/usr/local/lib/python3.10/dist-packages/transformers/quantizers/auto.py:186: UserWarning: You passed `quantization_config` or equivalent parameters to `from_pretrained` but the model you're loading already has a `quantization_config` attribute. The `quantization_config` from the model will be used.\n", + " warnings.warn(warning_msg)\n", + "`Qwen2VLRotaryEmbedding` can now be fully parameterized by passing the model config through the `config` argument. All other arguments will be removed in v4.46\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading checkpoint shards: 0%| | 0/9 [00:00 403\u001b[0;31m resolved_file = hf_hub_download(\n\u001b[0m\u001b[1;32m 404\u001b[0m \u001b[0mpath_or_repo_id\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py\u001b[0m in \u001b[0;36m_inner_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 105\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0marg_name\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"repo_id\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"from_id\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"to_id\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 106\u001b[0;31m \u001b[0mvalidate_repo_id\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg_value\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 107\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py\u001b[0m in \u001b[0;36mvalidate_repo_id\u001b[0;34m(repo_id)\u001b[0m\n\u001b[1;32m 153\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mrepo_id\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"/\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 154\u001b[0;31m raise HFValidationError(\n\u001b[0m\u001b[1;32m 155\u001b[0m \u001b[0;34m\"Repo id must be in the form 'repo_name' or 'namespace/repo_name':\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mHFValidationError\u001b[0m: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/root/.cache/huggingface/hub/models--bartowski--QVQ-72B-Preview-GGUF/snapshots/6cc15d7b163c4078a00962750cdbb6a692c00165/QVQ-72B-Preview-Q2_K.gguf'. Use `repo_type` argument if needed.", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;31m# Load the model (depending on the implementation, GGUF might require specific loading logic)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAutoModelForCausalLM\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_pretrained\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;31m# Optionally, load the tokenizer if needed\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py\u001b[0m in \u001b[0;36mfrom_pretrained\u001b[0;34m(cls, pretrained_model_name_or_path, *model_args, **kwargs)\u001b[0m\n\u001b[1;32m 485\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPretrainedConfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 486\u001b[0m \u001b[0;31m# We make a call to the config file first (which may be absent) to get the commit hash as soon as possible\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 487\u001b[0;31m resolved_config_file = cached_file(\n\u001b[0m\u001b[1;32m 488\u001b[0m \u001b[0mpretrained_model_name_or_path\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 489\u001b[0m \u001b[0mCONFIG_NAME\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py\u001b[0m in \u001b[0;36mcached_file\u001b[0;34m(path_or_repo_id, filename, cache_dir, force_download, resume_download, proxies, token, revision, local_files_only, subfolder, repo_type, user_agent, _raise_exceptions_for_gated_repo, _raise_exceptions_for_missing_entries, _raise_exceptions_for_connection_errors, _commit_hash, **deprecated_kwargs)\u001b[0m\n\u001b[1;32m 467\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mEnvironmentError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"There was a specific connection error when trying to load {path_or_repo_id}:\\n{err}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 468\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mHFValidationError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 469\u001b[0;31m raise EnvironmentError(\n\u001b[0m\u001b[1;32m 470\u001b[0m \u001b[0;34mf\"Incorrect path_or_model_id: '{path_or_repo_id}'. Please provide either the path to a local folder or the repo_id of a model on the Hub.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 471\u001b[0m ) from e\n", + "\u001b[0;31mOSError\u001b[0m: Incorrect path_or_model_id: '/root/.cache/huggingface/hub/models--bartowski--QVQ-72B-Preview-GGUF/snapshots/6cc15d7b163c4078a00962750cdbb6a692c00165/QVQ-72B-Preview-Q2_K.gguf'. Please provide either the path to a local folder or the repo_id of a model on the Hub." + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip install gguf>=0.10.0" + ], + "metadata": { + "id": "D-aMhtuHUWfG" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "!pip install gguf==0.10.0" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Obe3IlsCUb8I", + "outputId": "7db678f2-cb4d-45ec-c7c9-443842ae379d" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting gguf==0.10.0\n", + " Downloading gguf-0.10.0-py3-none-any.whl.metadata (3.5 kB)\n", + "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from gguf==0.10.0) (1.26.4)\n", + "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from gguf==0.10.0) (6.0.2)\n", + "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from gguf==0.10.0) (4.67.1)\n", + "Downloading gguf-0.10.0-py3-none-any.whl (71 kB)\n", + "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/71.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m71.6/71.6 kB\u001b[0m \u001b[31m2.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hInstalling collected packages: gguf\n", + " Attempting uninstall: gguf\n", + " Found existing installation: gguf 0.13.0\n", + " Uninstalling gguf-0.13.0:\n", + " Successfully uninstalled gguf-0.13.0\n", + "Successfully installed gguf-0.10.0\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import gguf" + ], + "metadata": { + "id": "luLtc5ZeVKWr" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from transformers import AutoTokenizer, AutoModelForCausalLM\n", + "\n", + "model_id = \"bartowski/QVQ-72B-Preview-GGUF\"\n", + "filename = \"QVQ-72B-Preview-Q2_K.gguf\"\n", + "\n", + "#tokenizer = AutoTokenizer.from_pretrained(model_id, gguf_file=filename)\n", + "model = AutoModelForCausalLM.from_pretrained(model_id, gguf_file=filename)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 356 + }, + "id": "lN7uArGQTATB", + "outputId": "31da468a-0183-414a-c49e-682e5bb2a7f2" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "error", + "ename": "ValueError", + "evalue": "Architecture qwen2vl not supported", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;31m#tokenizer = AutoTokenizer.from_pretrained(model_id, gguf_file=filename)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAutoModelForCausalLM\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_pretrained\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel_id\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgguf_file\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py\u001b[0m in \u001b[0;36mfrom_pretrained\u001b[0;34m(cls, pretrained_model_name_or_path, *model_args, **kwargs)\u001b[0m\n\u001b[1;32m 524\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"quantization_config\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 525\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 526\u001b[0;31m config, kwargs = AutoConfig.from_pretrained(\n\u001b[0m\u001b[1;32m 527\u001b[0m \u001b[0mpretrained_model_name_or_path\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 528\u001b[0m \u001b[0mreturn_unused_kwargs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py\u001b[0m in \u001b[0;36mfrom_pretrained\u001b[0;34m(cls, pretrained_model_name_or_path, **kwargs)\u001b[0m\n\u001b[1;32m 1019\u001b[0m \u001b[0mcode_revision\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"code_revision\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1020\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1021\u001b[0;31m \u001b[0mconfig_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0munused_kwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPretrainedConfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_config_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpretrained_model_name_or_path\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1022\u001b[0m \u001b[0mhas_remote_code\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"auto_map\"\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mconfig_dict\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m\"AutoConfig\"\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mconfig_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"auto_map\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1023\u001b[0m \u001b[0mhas_local_code\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"model_type\"\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mconfig_dict\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mconfig_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"model_type\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mCONFIG_MAPPING\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py\u001b[0m in \u001b[0;36mget_config_dict\u001b[0;34m(cls, pretrained_model_name_or_path, **kwargs)\u001b[0m\n\u001b[1;32m 588\u001b[0m \u001b[0moriginal_kwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdeepcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 589\u001b[0m \u001b[0;31m# Get config dict associated with the base config file\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 590\u001b[0;31m \u001b[0mconfig_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_config_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpretrained_model_name_or_path\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 591\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mconfig_dict\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 592\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py\u001b[0m in \u001b[0;36m_get_config_dict\u001b[0;34m(cls, pretrained_model_name_or_path, **kwargs)\u001b[0m\n\u001b[1;32m 679\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 680\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mgguf_file\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 681\u001b[0;31m \u001b[0mconfig_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mload_gguf_checkpoint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresolved_config_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreturn_tensors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"config\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 682\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 683\u001b[0m \u001b[0;31m# Load config dict\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/modeling_gguf_pytorch_utils.py\u001b[0m in \u001b[0;36mload_gguf_checkpoint\u001b[0;34m(gguf_checkpoint_path, return_tensors)\u001b[0m\n\u001b[1;32m 324\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 325\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0marchitecture\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mmodel_size\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mGGUF_SUPPORTED_ARCHITECTURES\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 326\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Architecture {architecture + model_size} not supported\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 327\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 328\u001b[0m \u001b[0;31m# Handle tie_word_embeddings, if lm_head.weight is not present in tensors,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mValueError\u001b[0m: Architecture qwen2vl not supported" + ] + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "Y3xbDxpaWw1S" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "mXlAx10MWw4D" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "!pip install -U \"huggingface_hub[cli]\"" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ohXouakcWw6v", + "outputId": "7fa76dcd-f351-4e56-bdac-dd6f6be3bd25" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: huggingface_hub[cli] in /usr/local/lib/python3.10/dist-packages (0.27.0)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface_hub[cli]) (3.16.1)\n", + "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub[cli]) (2024.10.0)\n", + "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub[cli]) (24.2)\n", + "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub[cli]) (6.0.2)\n", + "Requirement 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InquirerPy-0.3.4 pfzy-0.3.4\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!huggingface-cli download bartowski/QVQ-72B-Preview-GGUF --include \"QVQ-72B-Preview-IQ2_M.gguf\" --local-dir ./" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "Jd4UOQ4IWw9r", + "outputId": "4513e287-0ae4-4e4d-85c7-22e3e67e9d98" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Fetching 1 files: 0% 0/1 [00:00