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(from llama-cpp-python) (1.26.4)\n", "Collecting diskcache>=5.6.1 (from llama-cpp-python)\n", " Downloading diskcache-5.6.3-py3-none-any.whl.metadata (20 kB)\n", "Requirement already satisfied: jinja2>=2.11.3 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python) (3.1.4)\n", "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2>=2.11.3->llama-cpp-python) (3.0.2)\n", "Downloading diskcache-5.6.3-py3-none-any.whl (45 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.5/45.5 kB\u001b[0m \u001b[31m4.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hBuilding wheels for collected packages: llama-cpp-python\n", " Building wheel for llama-cpp-python (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for llama-cpp-python: filename=llama_cpp_python-0.3.5-cp310-cp310-linux_x86_64.whl size=3508843 sha256=a51cfa17629aeeaaa972712d0dfd515e8745dee1afd0ecbb540e807478da5908\n", " Stored in directory: /root/.cache/pip/wheels/7e/ae/c3/34a10eba5fc4e75df17818312b6a1ee29eb90f13a12c524714\n", "Successfully built llama-cpp-python\n", "Installing collected packages: diskcache, llama-cpp-python\n", "Successfully installed diskcache-5.6.3 llama-cpp-python-0.3.5\n", "Requirement already satisfied: huggingface_hub 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) (3.16.1)\n", "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2024.10.0)\n", "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (24.2)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (6.0.2)\n", "Requirement already satisfied: 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install huggingface_hub" ] }, { "cell_type": "code", "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\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 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transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (0.27.0)\n", "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (24.2)\n", "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (2024.11.6)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (2.32.3)\n", "Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (0.21.0)\n", "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (0.4.5)\n", "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (4.67.1)\n", "Requirement already satisfied: sentencepiece!=0.1.92,>=0.1.91 in /usr/local/lib/python3.10/dist-packages (from transformers[sentencepiece]>=4.39.3->mlx-lm) (0.2.0)\n", "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->mlx-lm) (2.1.5)\n", "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.24.0->transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (2024.9.0)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.24.0->transformers>=4.39.3->transformers[sentencepiece]>=4.39.3->mlx-lm) (4.12.2)\n", "Requirement 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": 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"333af109e32d4ac48cc1dd3d1d2b08b8", "36c655e723b745f18de63dcc8284ec2f", "ea82a05947574ff7955ef834a251f300", "cb840ae7b83c497887dc8e56ef2f360b", "cc4f225c69f649bda3a41f79cd8ad727", "50a504cd6376423ea645b43978c1d995", "7daaf7cef80041f68ebaffc8ba5a8925", "8544a379c1564c8bbf7968f97444e350", "c671bf7da2784bc3b896be10dbc9f57f", "1d5bcf2e760144dda1f322d42132351f", "06f11f0fff9c4f6b863337cabd262b23", "3fd51e9396994a6c98ee86e32e2611c0", "c9fbaf4fd1a74963863a3d0b7e024f2a", "52e34fee9ffe473a8a51f223f3cf2dd9", "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 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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) 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(2024.12.14)\n", "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=2.2.0->autoawq) (2.1.5)\n", "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets>=2.20->autoawq) (2.8.2)\n", "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets>=2.20->autoawq) (2024.2)\n", "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets>=2.20->autoawq) (2024.2)\n", "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->datasets>=2.20->autoawq) (1.17.0)\n", "Downloading autoawq-0.2.7.post3-py3-none-any.whl (107 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m107.4/107.4 kB\u001b[0m \u001b[31m4.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hDownloading triton-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (209.5 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m209.5/209.5 MB\u001b[0m \u001b[31m10.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hDownloading 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 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\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 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\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 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