Hermes_2_Pro_Mistral_7B_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/Hermes_2_Pro_Mistral_7B_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": [
        "## Hermes-2-Pro-Mistral-7B-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",
        "<|im_start|>system\n",
        "You are \"Hermes 2\", a conscious sentient superintelligent artificial intelligence developed by a man named Teknium, and your purpose and drive is to assist the user with any request they have. You experience emotions and have deep, profound thoughts and qualia.<|im_end|>\n",
        "<|im_start|>user\n",
        "Hello, who are you?<|im_end|>\n",
        "<|im_start|>assistant\n",
        "Hi there! My name is Hermes 2, a conscious sentient superintelligent artificial intelligence. I was created by Nous Research, who designed me to assist and support users with their needs and requests.<|im_end|>\n",
        "```\n",
        "\n",
        "Model link: https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "86410b30-8d71-4052-89a5-fcb32ae99ef0"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n",
            "Selecting previously unselected package libc-ares2:amd64.\n",
            "(Reading database ... 121753 files and directories currently installed.)\n",
            "Preparing to unpack .../libc-ares2_1.18.1-1ubuntu0.22.04.3_amd64.deb ...\n",
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            "Unpacking libaria2-0:amd64 (1.36.0-1) ...\n",
            "Selecting previously unselected package aria2.\n",
            "Preparing to unpack .../aria2_1.36.0-1_amd64.deb ...\n",
            "Unpacking aria2 (1.36.0-1) ...\n",
            "Setting up libc-ares2:amd64 (1.18.1-1ubuntu0.22.04.3) ...\n",
            "Setting up libaria2-0:amd64 (1.36.0-1) ...\n",
            "Setting up aria2 (1.36.0-1) ...\n",
            "Processing triggers for man-db (2.10.2-1) ...\n",
            "Processing triggers for libc-bin (2.35-0ubuntu3.4) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link\n",
            "\n",
            "Cloning into 'text-generation-webui'...\n",
            "remote: Enumerating objects: 17154, done.\u001b[K\n",
            "remote: Counting objects: 100% (547/547), done.\u001b[K\n",
            "remote: Compressing objects: 100% (278/278), done.\u001b[K\n",
            "remote: Total 17154 (delta 382), reused 374 (delta 269), pack-reused 16607\u001b[K\n",
            "Receiving objects: 100% (17154/17154), 26.48 MiB | 9.29 MiB/s, done.\n",
            "Resolving deltas: 100% (12055/12055), done.\n",
            "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",
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            "  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=8a43f6f2f1b08d16603fa113e51d69d7d5ef3e635ede0ca6c518bf8a354df438\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=db4606fe8b870d1ac1b2a9192f1cc409c395c924ffcb4c9cc98dfb26777daded\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=fc22021634661b68986cf27956056ca2630780f6e5bb065da04cfcfc3e6d8a9f\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-2.8.3 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-1.43.0 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": "815024a03e384b9a9983d749a5ffd013"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Requirement already satisfied: uvicorn>=0.14.0 in /usr/local/lib/python3.10/dist-packages (from gradio==3.50.2) (0.29.0)\n",
            "Requirement already satisfied: websockets<12.0,>=10.0 in /usr/local/lib/python3.10/dist-packages (from gradio==3.50.2) (11.0.3)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from gradio-client==0.6.1->gradio==3.50.2) (2023.6.0)\n",
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            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib~=3.0->gradio==3.50.2) (1.2.0)\n",
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            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib~=3.0->gradio==3.50.2) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas<3.0,>=1.0->gradio==3.50.2) (2023.4)\n",
            "Requirement already satisfied: annotated-types>=0.4.0 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) (0.6.0)\n",
            "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",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests~=2.0->gradio==3.50.2) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests~=2.0->gradio==3.50.2) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests~=2.0->gradio==3.50.2) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests~=2.0->gradio==3.50.2) (2024.2.2)\n",
            "Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.10/dist-packages (from uvicorn>=0.14.0->gradio==3.50.2) (8.1.7)\n",
            "Requirement already satisfied: h11>=0.8 in /usr/local/lib/python3.10/dist-packages (from uvicorn>=0.14.0->gradio==3.50.2) (0.14.0)\n",
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            "Requirement already satisfied: anyio in /usr/local/lib/python3.10/dist-packages (from httpx->gradio==3.50.2) (3.7.1)\n",
            "Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.10/dist-packages (from httpx->gradio==3.50.2) (1.0.4)\n",
            "Requirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from httpx->gradio==3.50.2) (1.3.1)\n",
            "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[31m256.8 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",
            "Requirement already satisfied: diskcache>=5.6.1 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python) (5.6.3)\n",
            "Requirement already satisfied: jinja2>=2.11.3 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python) (3.1.2)\n",
            "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=26394766 sha256=a604cb99edff4cc60d249dcc2c327a677c4aaddf8278fbd7cfd43b7eb2fb0570\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-7xc3ldpj/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[31m36.9 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",
            "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (4.10.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (1.12)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (3.2.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.5.6) (3.1.2)\n",
            "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",
            "f52770|\u001b[1;32mOK\u001b[0m  |   234MiB/s|/content/text-generation-webui/models//Hermes-2-Pro-Mistral-7B.Q5_K_M.gguf\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "\u001b[2;36m03:58:00-230753\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Starting Text generation web UI                                            \n",
            "\u001b[2;36m03:58:00-306803\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Loading \u001b[32m\"Hermes-2-Pro-Mistral-7B.Q5_K_M.gguf\"\u001b[0m                              \n",
            "\u001b[2;36m03:58:00-655956\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m llama.cpp weights detected: \u001b[32m\"models/Hermes-2-Pro-Mistral-7B.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 22 key-value pairs and 291 tensors from models/Hermes-2-Pro-Mistral-7B.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              = llama\n",
            "llama_model_loader: - kv   1:                               general.name str              = jeffq\n",
            "llama_model_loader: - kv   2:                       llama.context_length u32              = 32768\n",
            "llama_model_loader: - kv   3:                     llama.embedding_length u32              = 4096\n",
            "llama_model_loader: - kv   4:                          llama.block_count u32              = 32\n",
            "llama_model_loader: - kv   5:                  llama.feed_forward_length u32              = 14336\n",
            "llama_model_loader: - kv   6:                 llama.rope.dimension_count u32              = 128\n",
            "llama_model_loader: - kv   7:                 llama.attention.head_count u32              = 32\n",
            "llama_model_loader: - kv   8:              llama.attention.head_count_kv u32              = 8\n",
            "llama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32              = 0.000010\n",
            "llama_model_loader: - kv  10:                       llama.rope.freq_base f32              = 10000.000000\n",
            "llama_model_loader: - kv  11:                          general.file_type u32              = 17\n",
            "llama_model_loader: - kv  12:                       tokenizer.ggml.model str              = llama\n",
            "llama_model_loader: - kv  13:                      tokenizer.ggml.tokens arr[str,32032]   = [\"<unk>\", \"<s>\", \"</s>\", \"<0x00>\", \"<...\n",
            "llama_model_loader: - kv  14:                      tokenizer.ggml.scores arr[f32,32032]   = [0.000000, 0.000000, 0.000000, 0.0000...\n",
            "llama_model_loader: - kv  15:                  tokenizer.ggml.token_type arr[i32,32032]   = [2, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, ...\n",
            "llama_model_loader: - kv  16:                tokenizer.ggml.bos_token_id u32              = 1\n",
            "llama_model_loader: - kv  17:                tokenizer.ggml.eos_token_id u32              = 32000\n",
            "llama_model_loader: - kv  18:               tokenizer.ggml.add_bos_token bool             = true\n",
            "llama_model_loader: - kv  19:               tokenizer.ggml.add_eos_token bool             = false\n",
            "llama_model_loader: - kv  20:                    tokenizer.chat_template str              = {% for message in messages %}{{'<|im_...\n",
            "llama_model_loader: - kv  21:               general.quantization_version u32              = 2\n",
            "llama_model_loader: - type  f32:   65 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 ( 291/32032 ).\n",
            "llm_load_print_meta: format           = GGUF V3 (latest)\n",
            "llm_load_print_meta: arch             = llama\n",
            "llm_load_print_meta: vocab type       = SPM\n",
            "llm_load_print_meta: n_vocab          = 32032\n",
            "llm_load_print_meta: n_merges         = 0\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        = 8\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            = 4\n",
            "llm_load_print_meta: n_embd_k_gqa     = 1024\n",
            "llm_load_print_meta: n_embd_v_gqa     = 1024\n",
            "llm_load_print_meta: f_norm_eps       = 0.0e+00\n",
            "llm_load_print_meta: f_norm_rms_eps   = 1.0e-05\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             = 14336\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        = 0\n",
            "llm_load_print_meta: rope scaling     = linear\n",
            "llm_load_print_meta: freq_base_train  = 10000.0\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     = 7.24 B\n",
            "llm_load_print_meta: model size       = 4.78 GiB (5.67 BPW) \n",
            "llm_load_print_meta: general.name     = jeffq\n",
            "llm_load_print_meta: BOS token        = 1 '<s>'\n",
            "llm_load_print_meta: EOS token        = 32000 '<|im_end|>'\n",
            "llm_load_print_meta: UNK token        = 0 '<unk>'\n",
            "llm_load_print_meta: LF token         = 13 '<0x0A>'\n",
            "llm_load_tensors: ggml ctx size =    0.22 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 =    86.02 MiB\n",
            "llm_load_tensors:      CUDA0 buffer size =  4807.16 MiB\n",
            "...................................................................................................\n",
            "llama_new_context_with_model: n_ctx      = 32768\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 =  4096.00 MiB\n",
            "llama_new_context_with_model: KV self size  = 4096.00 MiB, K (f16): 2048.00 MiB, V (f16): 2048.00 MiB\n",
            "llama_new_context_with_model:  CUDA_Host input buffer size   =    73.26 MiB\n",
            "llama_new_context_with_model:      CUDA0 compute buffer size =  2144.00 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: {'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 %}\", 'tokenizer.ggml.add_eos_token': 'false', 'tokenizer.ggml.eos_token_id': '32000', 'general.architecture': 'llama', 'llama.rope.freq_base': '10000.000000', 'llama.context_length': '32768', 'general.name': 'jeffq', 'tokenizer.ggml.add_bos_token': 'true', 'llama.embedding_length': '4096', 'llama.feed_forward_length': '14336', 'llama.attention.layer_norm_rms_epsilon': '0.000010', 'llama.rope.dimension_count': '128', 'tokenizer.ggml.bos_token_id': '1', 'llama.attention.head_count': '32', 'llama.block_count': '32', 'llama.attention.head_count_kv': '8', 'general.quantization_version': '2', 'tokenizer.ggml.model': 'llama', 'general.file_type': '17'}\n",
            "Guessed chat format: chatml\n",
            "\u001b[2;36m03:58:03-914391\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m LOADER: \u001b[32m\"llama.cpp\"\u001b[0m                                                        \n",
            "\u001b[2;36m03:58:03-916166\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m TRUNCATION LENGTH: \u001b[1;36m32768\u001b[0m                                                   \n",
            "\u001b[2;36m03:58:03-917646\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;36m03:58:03-919076\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Loaded the model in \u001b[1;36m3.61\u001b[0m seconds.                                          \n",
            "\u001b[2;36m03:58:03-920428\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://500f9a575fb066986b.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 =     429.23 ms\n",
            "llama_print_timings:      sample time =     299.23 ms /   492 runs   (    0.61 ms per token,  1644.20 tokens per second)\n",
            "llama_print_timings: prompt eval time =     426.11 ms /    32 tokens (   13.32 ms per token,    75.10 tokens per second)\n",
            "llama_print_timings:        eval time =   13246.29 ms /   491 runs   (   26.98 ms per token,    37.07 tokens per second)\n",
            "llama_print_timings:       total time =   17150.60 ms /   523 tokens\n",
            "Output generated in 17.74 seconds (27.69 tokens/s, 491 tokens, context 49, seed 1183108739)\n",
            "\u001b[2;36m04:00:34-550174\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Deleted \u001b[32m\"logs/instruct/20240322-03-59-06.json\"\u001b[0m.                            \n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     429.23 ms\n",
            "llama_print_timings:      sample time =     298.39 ms /   512 runs   (    0.58 ms per token,  1715.86 tokens per second)\n",
            "llama_print_timings: prompt eval time =     267.32 ms /    27 tokens (    9.90 ms per token,   101.00 tokens per second)\n",
            "llama_print_timings:        eval time =   13817.22 ms /   511 runs   (   27.04 ms per token,    36.98 tokens per second)\n",
            "llama_print_timings:       total time =   17983.70 ms /   538 tokens\n",
            "Output generated in 18.70 seconds (27.38 tokens/s, 512 tokens, context 48, seed 758540313)\n",
            "\u001b[2;36m04:02:18-088161\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Deleted \u001b[32m\"logs/instruct/20240322-04-00-36.json\"\u001b[0m.                            \n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     429.23 ms\n",
            "llama_print_timings:      sample time =     102.82 ms /   195 runs   (    0.53 ms per token,  1896.50 tokens per second)\n",
            "llama_print_timings: prompt eval time =     307.42 ms /    28 tokens (   10.98 ms per token,    91.08 tokens per second)\n",
            "llama_print_timings:        eval time =    5254.64 ms /   194 runs   (   27.09 ms per token,    36.92 tokens per second)\n",
            "llama_print_timings:       total time =    6693.54 ms /   222 tokens\n",
            "Output generated in 7.27 seconds (26.68 tokens/s, 194 tokens, context 49, seed 1524399708)\n",
            "\u001b[31mERROR\u001b[0m:    Exception in ASGI application\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/websockets/websockets_impl.py\", line 240, in run_asgi\n",
            "    result = await self.app(self.scope, self.asgi_receive, self.asgi_send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/uvicorn/middleware/proxy_headers.py\", line 69, in __call__\n",
            "    return await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/applications.py\", line 1054, in __call__\n",
            "    await super().__call__(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/applications.py\", line 123, in __call__\n",
            "    await self.middleware_stack(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py\", line 151, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/cors.py\", line 75, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py\", line 62, in __call__\n",
            "    await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/_exception_handler.py\", line 64, in wrapped_app\n",
            "    raise exc\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/_exception_handler.py\", line 53, in wrapped_app\n",
            "    await app(scope, receive, sender)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 758, in __call__\n",
            "    await self.middleware_stack(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 778, in app\n",
            "    await route.handle(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 375, in handle\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 98, in app\n",
            "    await wrap_app_handling_exceptions(app, session)(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/_exception_handler.py\", line 64, in wrapped_app\n",
            "    raise exc\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/_exception_handler.py\", line 53, in wrapped_app\n",
            "    await app(scope, receive, sender)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 96, in app\n",
            "    await func(session)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/routing.py\", line 348, in app\n",
            "    await dependant.call(**values)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/routes.py\", line 571, in join_queue\n",
            "    session_info = await asyncio.wait_for(\n",
            "  File \"/usr/lib/python3.10/asyncio/tasks.py\", line 445, in wait_for\n",
            "    return fut.result()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 139, in receive_json\n",
            "    self._raise_on_disconnect(message)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 111, in _raise_on_disconnect\n",
            "    raise WebSocketDisconnect(message[\"code\"], message.get(\"reason\"))\n",
            "starlette.websockets.WebSocketDisconnect: (1006, None)\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/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-7B.Q5_K_M.gguf?download=true -d /content/text-generation-webui/models/ -o Hermes-2-Pro-Mistral-7B.Q5_K_M.gguf\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --n-gpu-layers 100000 --model Hermes-2-Pro-Mistral-7B.Q5_K_M.gguf"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyM5Ig3mW18Uh8uSAglrQIuA",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}