Qwen1_5_7B_Chat_GGUF.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Troyanovsky/Local-LLM-Comparison-Colab-UI/blob/main/Qwen1_5_7B_Chat_GGUF.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XNkpBtLvuTOp"
      },
      "source": [
        "## Qwen1.5-7B-Chat-GGUF WebUI\n",
        "\n",
        "1. Run the following cell, takes ~5 min\n",
        "(You may need to confirm to proceed by typing \"Y\")\n",
        "2. Pick the version you need from one of the last two cells and only run that cell.\n",
        "3. Click the gradio link at the bottom\n",
        "4. In Chat settings - Instruction Template: ChatML\n",
        "\n",
        "Model link: https://huggingface.co/Qwen/Qwen1.5-7B-Chat-GGUF/"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "f7d270cd-2cad-4941-bf44-e9914d95756d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n",
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            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link\n",
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            "\n",
            "Cloning into 'text-generation-webui'...\n",
            "remote: Enumerating objects: 17154, done.\u001b[K\n",
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            "remote: Total 17154 (delta 382), reused 377 (delta 271), pack-reused 16607\u001b[K\n",
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            "Note: switching to '7cf1402bde48fd76af501d5efecb34227bf4d082'.\n",
            "\n",
            "You are in 'detached HEAD' state. You can look around, make experimental\n",
            "changes and commit them, and you can discard any commits you make in this\n",
            "state without impacting any branches by switching back to a branch.\n",
            "\n",
            "If you want to create a new branch to retain commits you create, you may\n",
            "do so (now or later) by using -c with the switch command. Example:\n",
            "\n",
            "  git switch -c <new-branch-name>\n",
            "\n",
            "Or undo this operation with:\n",
            "\n",
            "  git switch -\n",
            "\n",
            "Turn off this advice by setting config variable advice.detachedHead to false\n",
            "\n",
            "/content/text-generation-webui\n",
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            "Building wheels for collected packages: hqq, rouge-score, ffmpy, sqlitedict\n",
            "  Building wheel for hqq (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for hqq: filename=hqq-0.1.5-py3-none-any.whl size=42635 sha256=0efe9504f489fbb13757ea8eb7c534bfcf985b149c58db7879c8fc5906ebf3a0\n",
            "  Stored in directory: /root/.cache/pip/wheels/e1/95/62/11dfb70a0308c6856acf0d712791c2c0492517a63fa3f53bf7\n",
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            "  Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24933 sha256=d8b2aa4ee99a32c548d0cb2a0cfbbc714a015fc4d590e14032bd3a459783758e\n",
            "  Stored in directory: /root/.cache/pip/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4\n",
            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ffmpy: filename=ffmpy-0.3.2-py3-none-any.whl size=5584 sha256=73828682c3c0bae792bd958f05d27ba52dc266b77b9b442bbf89647067584b25\n",
            "  Stored in directory: /root/.cache/pip/wheels/bd/65/9a/671fc6dcde07d4418df0c592f8df512b26d7a0029c2a23dd81\n",
            "  Building wheel for sqlitedict (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16862 sha256=5b508f69eca233bb11e83b1e00854a157291c9a8174e018c8c338cb33a8bdc65\n",
            "  Stored in directory: /root/.cache/pip/wheels/79/d6/e7/304e0e6cb2221022c26d8161f7c23cd4f259a9e41e8bbcfabd\n",
            "Successfully built hqq rouge-score ffmpy sqlitedict\n",
            "Installing collected packages: sqlitedict, pydub, ninja, gptq-for-llama, ffmpy, zstandard, xxhash, websockets, tcolorpy, smmap, setproctitle, sentry-sdk, semantic-version, rouge, python-multipart, pycountry, pybind11, portalocker, Pillow, pathvalidate, orjson, 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, numpy, mbstrdecoder, llvmlite, jsonlines, jinja2, humanfriendly, h11, einops, docker-pycreds, diskcache, dill, cramjam, colorama, aiofiles, uvicorn, typepy, tqdm-multiprocess, tiktoken, starlette, SpeechRecognition, sacrebleu, rouge-score, nvidia-cusparse-cu12, nvidia-cudnn-cu12, numba, multiprocess, llama-cpp-python-cuda-tensorcores, llama-cpp-python-cuda, llama-cpp-python, httpcore, gitdb, gekko, coloredlogs, sse-starlette, nvidia-cusolver-cu12, httpx, GitPython, flask_cloudflared, fastparquet, fastapi, ctransformers, wandb, openai, gradio-client, datasets, DataProperty, tabledata, gradio, flash-attn, exllamav2, bitsandbytes, autoawq-kernels, accelerate, timm, pytablewriter, peft, optimum, autoawq, aqlm, lm_eval, hqq, auto-gptq\n",
            "  Attempting uninstall: Pillow\n",
            "    Found existing installation: Pillow 9.4.0\n",
            "    Uninstalling Pillow-9.4.0:\n",
            "      Successfully uninstalled Pillow-9.4.0\n",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.25.2\n",
            "    Uninstalling numpy-1.25.2:\n",
            "      Successfully uninstalled numpy-1.25.2\n",
            "  Attempting uninstall: llvmlite\n",
            "    Found existing installation: llvmlite 0.41.1\n",
            "    Uninstalling llvmlite-0.41.1:\n",
            "      Successfully uninstalled llvmlite-0.41.1\n",
            "  Attempting uninstall: jinja2\n",
            "    Found existing installation: Jinja2 3.1.3\n",
            "    Uninstalling Jinja2-3.1.3:\n",
            "      Successfully uninstalled Jinja2-3.1.3\n",
            "  Attempting uninstall: numba\n",
            "    Found existing installation: numba 0.58.1\n",
            "    Uninstalling numba-0.58.1:\n",
            "      Successfully uninstalled numba-0.58.1\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",
            "imageio 2.31.6 requires pillow<10.1.0,>=8.3.2, but you have pillow 10.2.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed DataProperty-1.0.1 GitPython-3.1.42 Pillow-10.2.0 SpeechRecognition-3.10.0 accelerate-0.27.2 aiofiles-23.2.1 aqlm-1.1.0 auto-gptq-0.6.0+cu121 autoawq-0.2.3 autoawq-kernels-0.0.6 bitsandbytes-0.43.0 colorama-0.4.6 coloredlogs-15.0.1 cramjam-2.8.2 ctransformers-0.2.27+cu121 datasets-2.18.0 dill-0.3.8 diskcache-5.6.3 docker-pycreds-0.4.0 einops-0.7.0 exllamav2-0.0.15+cu121 fastapi-0.110.0 fastparquet-2024.2.0 ffmpy-0.3.2 flash-attn-2.5.6 flask_cloudflared-0.0.14 gekko-1.0.7 gitdb-4.0.11 gptq-for-llama-0.1.1+cu121 gradio-3.50.2 gradio-client-0.6.1 h11-0.14.0 hqq-0.1.5 httpcore-1.0.4 httpx-0.27.0 humanfriendly-10.0 jinja2-3.1.2 jsonlines-4.0.0 llama-cpp-python-0.2.56+cpuavx2 llama-cpp-python-cuda-0.2.56+cu121 llama-cpp-python-cuda-tensorcores-0.2.56+cu121 llvmlite-0.42.0 lm_eval-0.3.0 mbstrdecoder-1.1.3 multiprocess-0.70.16 ninja-1.11.1.1 numba-0.59.1 numpy-1.26.4 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-cu12-2.19.3 nvidia-nvjitlink-cu12-12.4.99 nvidia-nvtx-cu12-12.1.105 openai-1.14.2 optimum-1.17.1 orjson-3.9.15 pathvalidate-3.2.0 peft-0.8.2 portalocker-2.8.2 pybind11-2.11.1 pycountry-23.12.11 pydub-0.25.1 pytablewriter-1.2.0 python-multipart-0.0.9 rouge-1.0.1 rouge-score-0.1.2 sacrebleu-1.5.0 semantic-version-2.10.0 sentry-sdk-1.42.0 setproctitle-1.3.3 smmap-5.0.1 sqlitedict-2.1.0 sse-starlette-1.6.5 starlette-0.36.3 tabledata-1.3.3 tcolorpy-0.1.4 tiktoken-0.6.0 timm-0.9.16 tqdm-multiprocess-0.0.11 typepy-1.3.2 uvicorn-0.29.0 wandb-0.16.4 websockets-11.0.3 xxhash-3.4.1 zstandard-0.22.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL"
                ]
              },
              "id": "db4d50198d89408998349266b9e808bc"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Requirement already satisfied: pydantic-core==2.16.3 in /usr/local/lib/python3.10/dist-packages (from pydantic!=1.8,!=1.8.1,!=2.0.0,!=2.0.1,<3.0.0,>=1.7.4->gradio==3.50.2) (2.16.3)\n",
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            "Requirement already satisfied: attrs>=22.2.0 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio==3.50.2) (23.2.0)\n",
            "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio==3.50.2) (2023.12.1)\n",
            "Requirement already satisfied: referencing>=0.28.4 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio==3.50.2) (0.33.0)\n",
            "Requirement already satisfied: rpds-py>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio==3.50.2) (0.18.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib~=3.0->gradio==3.50.2) (1.16.0)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio->httpx->gradio==3.50.2) (1.2.0)\n",
            "Found existing installation: llama_cpp_python 0.2.56+cpuavx2\n",
            "Uninstalling llama_cpp_python-0.2.56+cpuavx2:\n",
            "  Successfully uninstalled llama_cpp_python-0.2.56+cpuavx2\n",
            "Collecting llama-cpp-python\n",
            "  Downloading llama_cpp_python-0.2.57.tar.gz (36.9 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m36.9/36.9 MB\u001b[0m \u001b[31m83.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Installing backend dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: typing-extensions>=4.5.0 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python) (4.10.0)\n",
            "Requirement already satisfied: numpy>=1.20.0 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python) (1.26.4)\n",
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            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2>=2.11.3->llama-cpp-python) (2.1.5)\n",
            "Building 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-0.2.57-cp310-cp310-manylinux_2_35_x86_64.whl size=26426792 sha256=78897f7d30e73e1e18649624dd8575678051166317774e653b8d3c8d99a4ab56\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-6qldevoe/wheels/7e/c0/00/e98d6e198f941c623da37b3f674354cbdccfcfb2cb9cf1133d\n",
            "Successfully built llama-cpp-python\n",
            "Installing collected packages: llama-cpp-python\n",
            "Successfully installed llama-cpp-python-0.2.57\n",
            "Found existing installation: flash-attn 2.5.6\n",
            "Uninstalling flash-attn-2.5.6:\n",
            "  Successfully uninstalled flash-attn-2.5.6\n",
            "Collecting flash-attn==2.5.6\n",
            "  Downloading flash_attn-2.5.6.tar.gz (2.5 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.5/2.5 MB\u001b[0m \u001b[31m11.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.5.6) (2.2.1+cu121)\n",
            "Requirement already satisfied: einops in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.5.6) (0.7.0)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.5.6) (24.0)\n",
            "Requirement already satisfied: ninja in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.5.6) (1.11.1.1)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (3.13.1)\n",
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            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (3.2.1)\n",
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            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (2023.6.0)\n",
            "Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (12.1.105)\n",
            "Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (12.1.105)\n",
            "Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (12.1.105)\n",
            "Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (8.9.2.26)\n",
            "Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (12.1.3.1)\n",
            "Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (11.0.2.54)\n",
            "Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (10.3.2.106)\n",
            "Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (11.4.5.107)\n",
            "Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (12.1.0.106)\n",
            "Requirement already satisfied: nvidia-nccl-cu12==2.19.3 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (2.19.3)\n",
            "Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (12.1.105)\n",
            "Requirement already satisfied: triton==2.2.0 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (2.2.0)\n",
            "Requirement already satisfied: nvidia-nvjitlink-cu12 in /usr/local/lib/python3.10/dist-packages (from nvidia-cusolver-cu12==11.4.5.107->torch->flash-attn==2.5.6) (12.4.99)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch->flash-attn==2.5.6) (2.1.5)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->flash-attn==2.5.6) (1.3.0)\n",
            "Building wheels for collected packages: flash-attn\n",
            "  Building wheel for flash-attn (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for flash-attn: filename=flash_attn-2.5.6-cp310-cp310-linux_x86_64.whl size=120592258 sha256=d8cf54adda65f59820221d329d274e124972d7fdc05ab3b1130253c64eee6c8a\n",
            "  Stored in directory: /root/.cache/pip/wheels/a8/1c/88/b959d6818b98a46d61ba231683abb7523b89ac1a7ed1e0c206\n",
            "Successfully built flash-attn\n",
            "Installing collected packages: flash-attn\n",
            "Successfully installed flash-attn-2.5.6\n",
            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "970a8f|\u001b[1;32mOK\u001b[0m  |   210MiB/s|/content/text-generation-webui/models//qwen1_5-7b-chat-q5_k_m.gguf\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "\u001b[2;36m11:29:53-294974\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Starting Text generation web UI                                            \n",
            "\u001b[2;36m11:29:53-633280\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Loading \u001b[32m\"qwen1_5-7b-chat-q5_k_m.gguf\"\u001b[0m                                      \n",
            "\u001b[2;36m11:29:54-288247\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m llama.cpp weights detected: \u001b[32m\"models/qwen1_5-7b-chat-q5_k_m.gguf\"\u001b[0m           \n",
            "ggml_init_cublas: GGML_CUDA_FORCE_MMQ:   yes\n",
            "ggml_init_cublas: CUDA_USE_TENSOR_CORES: no\n",
            "ggml_init_cublas: found 1 CUDA devices:\n",
            "  Device 0: Tesla T4, compute capability 7.5, VMM: yes\n",
            "llama_model_loader: loaded meta data with 21 key-value pairs and 387 tensors from models/qwen1_5-7b-chat-q5_k_m.gguf (version GGUF V3 (latest))\n",
            "llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.\n",
            "llama_model_loader: - kv   0:                       general.architecture str              = qwen2\n",
            "llama_model_loader: - kv   1:                               general.name str              = Qwen1.5-7B-Chat-AWQ-fp16\n",
            "llama_model_loader: - kv   2:                          qwen2.block_count u32              = 32\n",
            "llama_model_loader: - kv   3:                       qwen2.context_length u32              = 32768\n",
            "llama_model_loader: - kv   4:                     qwen2.embedding_length u32              = 4096\n",
            "llama_model_loader: - kv   5:                  qwen2.feed_forward_length u32              = 11008\n",
            "llama_model_loader: - kv   6:                 qwen2.attention.head_count u32              = 32\n",
            "llama_model_loader: - kv   7:              qwen2.attention.head_count_kv u32              = 32\n",
            "llama_model_loader: - kv   8:     qwen2.attention.layer_norm_rms_epsilon f32              = 0.000001\n",
            "llama_model_loader: - kv   9:                       qwen2.rope.freq_base f32              = 1000000.000000\n",
            "llama_model_loader: - kv  10:                qwen2.use_parallel_residual bool             = true\n",
            "llama_model_loader: - kv  11:                       tokenizer.ggml.model str              = gpt2\n",
            "llama_model_loader: - kv  12:                      tokenizer.ggml.tokens arr[str,151936]  = [\"!\", \"\\\"\", \"#\", \"$\", \"%\", \"&\", \"'\", ...\n",
            "llama_model_loader: - kv  13:                  tokenizer.ggml.token_type arr[i32,151936]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...\n",
            "llama_model_loader: - kv  14:                      tokenizer.ggml.merges arr[str,151387]  = [\"Ġ Ġ\", \"ĠĠ ĠĠ\", \"i n\", \"Ġ t\",...\n",
            "llama_model_loader: - kv  15:                tokenizer.ggml.eos_token_id u32              = 151645\n",
            "llama_model_loader: - kv  16:            tokenizer.ggml.padding_token_id u32              = 151643\n",
            "llama_model_loader: - kv  17:                tokenizer.ggml.bos_token_id u32              = 151643\n",
            "llama_model_loader: - kv  18:                    tokenizer.chat_template str              = {% for message in messages %}{{'<|im_...\n",
            "llama_model_loader: - kv  19:               general.quantization_version u32              = 2\n",
            "llama_model_loader: - kv  20:                          general.file_type u32              = 17\n",
            "llama_model_loader: - type  f32:  161 tensors\n",
            "llama_model_loader: - type q5_K:  193 tensors\n",
            "llama_model_loader: - type q6_K:   33 tensors\n",
            "llm_load_vocab: special tokens definition check successful ( 293/151936 ).\n",
            "llm_load_print_meta: format           = GGUF V3 (latest)\n",
            "llm_load_print_meta: arch             = qwen2\n",
            "llm_load_print_meta: vocab type       = BPE\n",
            "llm_load_print_meta: n_vocab          = 151936\n",
            "llm_load_print_meta: n_merges         = 151387\n",
            "llm_load_print_meta: n_ctx_train      = 32768\n",
            "llm_load_print_meta: n_embd           = 4096\n",
            "llm_load_print_meta: n_head           = 32\n",
            "llm_load_print_meta: n_head_kv        = 32\n",
            "llm_load_print_meta: n_layer          = 32\n",
            "llm_load_print_meta: n_rot            = 128\n",
            "llm_load_print_meta: n_embd_head_k    = 128\n",
            "llm_load_print_meta: n_embd_head_v    = 128\n",
            "llm_load_print_meta: n_gqa            = 1\n",
            "llm_load_print_meta: n_embd_k_gqa     = 4096\n",
            "llm_load_print_meta: n_embd_v_gqa     = 4096\n",
            "llm_load_print_meta: f_norm_eps       = 0.0e+00\n",
            "llm_load_print_meta: f_norm_rms_eps   = 1.0e-06\n",
            "llm_load_print_meta: f_clamp_kqv      = 0.0e+00\n",
            "llm_load_print_meta: f_max_alibi_bias = 0.0e+00\n",
            "llm_load_print_meta: n_ff             = 11008\n",
            "llm_load_print_meta: n_expert         = 0\n",
            "llm_load_print_meta: n_expert_used    = 0\n",
            "llm_load_print_meta: pooling type     = 0\n",
            "llm_load_print_meta: rope type        = 2\n",
            "llm_load_print_meta: rope scaling     = linear\n",
            "llm_load_print_meta: freq_base_train  = 1000000.0\n",
            "llm_load_print_meta: freq_scale_train = 1\n",
            "llm_load_print_meta: n_yarn_orig_ctx  = 32768\n",
            "llm_load_print_meta: rope_finetuned   = unknown\n",
            "llm_load_print_meta: ssm_d_conv       = 0\n",
            "llm_load_print_meta: ssm_d_inner      = 0\n",
            "llm_load_print_meta: ssm_d_state      = 0\n",
            "llm_load_print_meta: ssm_dt_rank      = 0\n",
            "llm_load_print_meta: model type       = 7B\n",
            "llm_load_print_meta: model ftype      = Q5_K - Medium\n",
            "llm_load_print_meta: model params     = 7.72 B\n",
            "llm_load_print_meta: model size       = 5.15 GiB (5.72 BPW) \n",
            "llm_load_print_meta: general.name     = Qwen1.5-7B-Chat-AWQ-fp16\n",
            "llm_load_print_meta: BOS token        = 151643 '<|endoftext|>'\n",
            "llm_load_print_meta: EOS token        = 151645 '<|im_end|>'\n",
            "llm_load_print_meta: PAD token        = 151643 '<|endoftext|>'\n",
            "llm_load_print_meta: LF token         = 148848 'ÄĬ'\n",
            "llm_load_tensors: ggml ctx size =    0.30 MiB\n",
            "llm_load_tensors: offloading 32 repeating layers to GPU\n",
            "llm_load_tensors: offloading non-repeating layers to GPU\n",
            "llm_load_tensors: offloaded 33/33 layers to GPU\n",
            "llm_load_tensors:        CPU buffer size =   408.03 MiB\n",
            "llm_load_tensors:      CUDA0 buffer size =  4860.75 MiB\n",
            "......................................................................................\n",
            "llama_new_context_with_model: n_ctx      = 2048\n",
            "llama_new_context_with_model: freq_base  = 10000.0\n",
            "llama_new_context_with_model: freq_scale = 1\n",
            "llama_kv_cache_init:      CUDA0 KV buffer size =  1024.00 MiB\n",
            "llama_new_context_with_model: KV self size  = 1024.00 MiB, K (f16):  512.00 MiB, V (f16):  512.00 MiB\n",
            "llama_new_context_with_model:  CUDA_Host input buffer size   =    13.02 MiB\n",
            "llama_new_context_with_model:      CUDA0 compute buffer size =   304.75 MiB\n",
            "llama_new_context_with_model:  CUDA_Host compute buffer size =     8.00 MiB\n",
            "llama_new_context_with_model: graph splits (measure): 2\n",
            "AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | \n",
            "Model metadata: {'general.file_type': '17', 'tokenizer.ggml.bos_token_id': '151643', 'general.architecture': 'qwen2', 'general.name': 'Qwen1.5-7B-Chat-AWQ-fp16', 'qwen2.block_count': '32', 'qwen2.context_length': '32768', 'tokenizer.chat_template': \"{% for message in messages %}{{'<|im_start|>' + message['role'] + '\\n' + message['content'] + '<|im_end|>' + '\\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\\n' }}{% endif %}\", 'qwen2.attention.head_count_kv': '32', 'tokenizer.ggml.padding_token_id': '151643', 'qwen2.embedding_length': '4096', 'qwen2.attention.layer_norm_rms_epsilon': '0.000001', 'qwen2.attention.head_count': '32', 'tokenizer.ggml.eos_token_id': '151645', 'qwen2.rope.freq_base': '1000000.000000', 'qwen2.use_parallel_residual': 'true', 'general.quantization_version': '2', 'qwen2.feed_forward_length': '11008', 'tokenizer.ggml.model': 'gpt2'}\n",
            "Guessed chat format: chatml\n",
            "\u001b[2;36m11:30:11-556381\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m LOADER: \u001b[32m\"llama.cpp\"\u001b[0m                                                        \n",
            "\u001b[2;36m11:30:11-557999\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m TRUNCATION LENGTH: \u001b[1;36m2048\u001b[0m                                                    \n",
            "\u001b[2;36m11:30:11-559070\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m INSTRUCTION TEMPLATE: \u001b[32m\"Custom \u001b[0m\u001b[32m(\u001b[0m\u001b[32mobtained from model metadata\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\"\u001b[0m              \n",
            "\u001b[2;36m11:30:11-560199\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Loaded the model in \u001b[1;36m17.93\u001b[0m seconds.                                         \n",
            "\u001b[2;36m11:30:11-561273\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Loading the extension \u001b[32m\"gallery\"\u001b[0m                                            \n",
            "\n",
            "Running on local URL:  http://127.0.0.1:7860\n",
            "\n",
            "Running on public URL: https://21ac33930622f25372.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n",
            "\n",
            "llama_print_timings:        load time =     307.88 ms\n",
            "llama_print_timings:      sample time =     214.04 ms /    85 runs   (    2.52 ms per token,   397.12 tokens per second)\n",
            "llama_print_timings: prompt eval time =     304.68 ms /     8 tokens (   38.09 ms per token,    26.26 tokens per second)\n",
            "llama_print_timings:        eval time =    2412.31 ms /    84 runs   (   28.72 ms per token,    34.82 tokens per second)\n",
            "llama_print_timings:       total time =    4127.17 ms /    92 tokens\n",
            "Output generated in 4.85 seconds (17.52 tokens/s, 85 tokens, context 9, seed 414051368)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     307.88 ms\n",
            "llama_print_timings:      sample time =     163.06 ms /    58 runs   (    2.81 ms per token,   355.69 tokens per second)\n",
            "llama_print_timings: prompt eval time =       0.00 ms /     1 tokens (    0.00 ms per token,      inf tokens per second)\n",
            "llama_print_timings:        eval time =    1605.08 ms /    58 runs   (   27.67 ms per token,    36.14 tokens per second)\n",
            "llama_print_timings:       total time =    2904.55 ms /    59 tokens\n",
            "Output generated in 3.59 seconds (16.15 tokens/s, 58 tokens, context 9, seed 1100220056)\n",
            "\u001b[2;36m11:46:30-589510\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Deleted \u001b[32m\"logs/instruct/20240320-11-41-30.json\"\u001b[0m.                            \n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/queueing.py\", line 407, in call_prediction\n",
            "    output = await route_utils.call_process_api(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/route_utils.py\", line 226, in call_process_api\n",
            "    output = await app.get_blocks().process_api(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1550, in process_api\n",
            "    result = await self.call_function(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1199, in call_function\n",
            "    prediction = await utils.async_iteration(iterator)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/utils.py\", line 519, in async_iteration\n",
            "    return await iterator.__anext__()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/utils.py\", line 512, in __anext__\n",
            "    return await anyio.to_thread.run_sync(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py\", line 33, in run_sync\n",
            "    return await get_asynclib().run_sync_in_worker_thread(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 877, in run_sync_in_worker_thread\n",
            "    return await future\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 807, in run\n",
            "    result = context.run(func, *args)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/utils.py\", line 495, in run_sync_iterator_async\n",
            "    return next(iterator)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/utils.py\", line 649, in gen_wrapper\n",
            "    yield from f(*args, **kwargs)\n",
            "  File \"/content/text-generation-webui/modules/chat.py\", line 412, in generate_chat_reply_wrapper\n",
            "    for i, history in enumerate(generate_chat_reply(text, state, regenerate, _continue, loading_message=True, for_ui=True)):\n",
            "  File \"/content/text-generation-webui/modules/chat.py\", line 380, in generate_chat_reply\n",
            "    for history in chatbot_wrapper(text, state, regenerate=regenerate, _continue=_continue, loading_message=loading_message, for_ui=for_ui):\n",
            "  File \"/content/text-generation-webui/modules/chat.py\", line 273, in chatbot_wrapper\n",
            "    stopping_strings = get_stopping_strings(state)\n",
            "  File \"/content/text-generation-webui/modules/chat.py\", line 250, in get_stopping_strings\n",
            "    prefix_bot, suffix_bot = get_generation_prompt(renderer, impersonate=False)\n",
            "  File \"/content/text-generation-webui/modules/chat.py\", line 68, in get_generation_prompt\n",
            "    suffix_plus_prefix = prompt.split(\"<<|user-message-1|>>\")[1].split(\"<<|user-message-2|>>\")[0]\n",
            "IndexError: list index out of range\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     307.88 ms\n",
            "llama_print_timings:      sample time =      24.21 ms /    11 runs   (    2.20 ms per token,   454.43 tokens per second)\n",
            "llama_print_timings: prompt eval time =     125.57 ms /     8 tokens (   15.70 ms per token,    63.71 tokens per second)\n",
            "llama_print_timings:        eval time =     298.45 ms /    10 runs   (   29.85 ms per token,    33.51 tokens per second)\n",
            "llama_print_timings:       total time =     587.20 ms /    18 tokens\n",
            "Output generated in 1.24 seconds (8.05 tokens/s, 10 tokens, context 25, seed 1013987644)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     307.88 ms\n",
            "llama_print_timings:      sample time =     276.64 ms /    96 runs   (    2.88 ms per token,   347.03 tokens per second)\n",
            "llama_print_timings: prompt eval time =     296.15 ms /    31 tokens (    9.55 ms per token,   104.68 tokens per second)\n",
            "llama_print_timings:        eval time =    2628.23 ms /    95 runs   (   27.67 ms per token,    36.15 tokens per second)\n",
            "llama_print_timings:       total time =    5173.03 ms /   126 tokens\n",
            "Output generated in 5.86 seconds (16.56 tokens/s, 97 tokens, context 85, seed 348040945)\n",
            "\u001b[2;36m11:49:53-363803\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Deleted \u001b[32m\"logs/instruct/20240320-11-46-34.json\"\u001b[0m.                            \n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     307.88 ms\n",
            "llama_print_timings:      sample time =     112.17 ms /    43 runs   (    2.61 ms per token,   383.36 tokens per second)\n",
            "llama_print_timings: prompt eval time =     266.98 ms /    32 tokens (    8.34 ms per token,   119.86 tokens per second)\n",
            "llama_print_timings:        eval time =    1166.80 ms /    42 runs   (   27.78 ms per token,    36.00 tokens per second)\n",
            "llama_print_timings:       total time =    2089.46 ms /    74 tokens\n",
            "Output generated in 2.77 seconds (15.15 tokens/s, 42 tokens, context 50, seed 1788209702)\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "!apt-get -y install -qq aria2\n",
        "\n",
        "!git clone -b V20240320 https://github.com/Troyanovsky/text-generation-webui\n",
        "%cd /content/text-generation-webui\n",
        "!pip install -r requirements.txt\n",
        "!pip install -U gradio==3.50.2\n",
        "\n",
        "!pip uninstall -y llama-cpp-python -y\n",
        "!CMAKE_ARGS=\"-DLLAMA_CUBLAS=on\" FORCE_CMAKE=1 pip install llama-cpp-python --no-cache-dir\n",
        "\n",
        "!pip uninstall flash-attn -y\n",
        "!pip install --no-build-isolation flash-attn==2.5.6\n",
        "\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/Qwen/Qwen1.5-7B-Chat-GGUF/resolve/main/qwen1_5-7b-chat-q5_k_m.gguf?download=true -d /content/text-generation-webui/models/ -o qwen1_5-7b-chat-q5_k_m.gguf\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --n-gpu-layers 100000 --model qwen1_5-7b-chat-q5_k_m.gguf"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNG+N4MKrFMpAxTImkQQF7F",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}