MythoBoros_13B.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/blob/main/MythoBoros_13B.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": [
        "## MythoBoros-13B WebUI\n",
        "1. Run the following cell, takes ~5 min\n",
        "2. Click the gradio link at the bottom\n",
        "3. In Chat settings - Instruction Template: Alpaca\n",
        "\n",
        "```\n",
        "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n",
        "\n",
        "### Instruction: {prompt}\n",
        "\n",
        "### Response:\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "f80363a7-88f7-492b-9a6e-24506961f506"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n",
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            "Processing triggers for man-db (2.10.2-1) ...\n",
            "Processing triggers for libc-bin (2.35-0ubuntu3.1) ...\n",
            "Cloning into 'text-generation-webui'...\n",
            "remote: Enumerating objects: 9462, done.\u001b[K\n",
            "remote: Counting objects: 100% (242/242), done.\u001b[K\n",
            "remote: Compressing objects: 100% (128/128), done.\u001b[K\n",
            "remote: Total 9462 (delta 130), reused 194 (delta 114), pack-reused 9220\u001b[K\n",
            "Receiving objects: 100% (9462/9462), 3.28 MiB | 25.86 MiB/s, done.\n",
            "Resolving deltas: 100% (6307/6307), done.\n",
            "Note: switching to '87926d033d9164a8fc77874bd6eaec72f7bb5b8a'.\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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            "  Running command git clone --filter=blob:none --quiet https://github.com/huggingface/peft /tmp/pip-req-build-jompmwp9\n",
            "  Running command git rev-parse -q --verify 'sha^03eb378eb914fbee709ff7c86ba5b1d033b89524'\n",
            "  Running command git fetch -q https://github.com/huggingface/peft 03eb378eb914fbee709ff7c86ba5b1d033b89524\n",
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            "Building wheels for collected packages: llama-cpp-python, peft, ffmpy, pathtools\n",
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            "Successfully built llama-cpp-python peft ffmpy pathtools\n",
            "Installing collected packages: tokenizers, sentencepiece, safetensors, pydub, pulp, pathtools, ffmpy, bitsandbytes, xxhash, websockets, uc-micro-py, smmap, setproctitle, sentry-sdk, semantic-version, rouge, python-multipart, Pillow, orjson, markdown-it-py, h11, einops, docker-pycreds, diskcache, dill, colorama, aiofiles, uvicorn, starlette, multiprocess, mdit-py-plugins, llama-cpp-python, linkify-it-py, huggingface-hub, httpcore, gitdb, transformers, httpx, GitPython, fastapi, wandb, gradio_client, datasets, gradio, accelerate, peft, flexgen, exllama, auto-gptq\n",
            "  Attempting uninstall: Pillow\n",
            "    Found existing installation: Pillow 8.4.0\n",
            "    Uninstalling Pillow-8.4.0:\n",
            "      Successfully uninstalled Pillow-8.4.0\n",
            "  Attempting uninstall: markdown-it-py\n",
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            "      Successfully uninstalled markdown-it-py-3.0.0\n",
            "Successfully installed GitPython-3.1.32 Pillow-10.0.0 accelerate-0.21.0 aiofiles-23.1.0 auto-gptq-0.3.0+cu117 bitsandbytes-0.40.2 colorama-0.4.6 datasets-2.13.1 dill-0.3.6 diskcache-5.6.1 docker-pycreds-0.4.0 einops-0.6.1 exllama-0.0.7+cu117 fastapi-0.95.2 ffmpy-0.3.1 flexgen-0.1.7 gitdb-4.0.10 gradio-3.33.1 gradio_client-0.2.5 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.16.4 linkify-it-py-2.0.2 llama-cpp-python-0.1.73 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 multiprocess-0.70.14 orjson-3.9.2 pathtools-0.1.2 peft-0.4.0.dev0 pulp-2.7.0 pydub-0.25.1 python-multipart-0.0.6 rouge-1.0.1 safetensors-0.3.1 semantic-version-2.10.0 sentencepiece-0.1.99 sentry-sdk-1.28.1 setproctitle-1.3.2 smmap-5.0.0 starlette-0.27.0 tokenizers-0.13.3 transformers-4.31.0 uc-micro-py-1.0.2 uvicorn-0.23.1 wandb-0.15.5 websockets-11.0.3 xxhash-3.2.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
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                ]
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          "metadata": {}
        },
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          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<5.0,>=3.0->httpcore<0.18.0,>=0.15.0->httpx->gradio==3.32.0) (1.1.2)\n",
            "Installing collected packages: gradio\n",
            "  Attempting uninstall: gradio\n",
            "    Found existing installation: gradio 3.33.1\n",
            "    Uninstalling gradio-3.33.1:\n",
            "      Successfully uninstalled gradio-3.33.1\n",
            "Successfully installed gradio-3.32.0\n",
            "Found existing installation: llama-cpp-python 0.1.73\n",
            "Uninstalling llama-cpp-python-0.1.73:\n",
            "  Successfully uninstalled llama-cpp-python-0.1.73\n",
            "Collecting llama-cpp-python\n",
            "  Downloading llama_cpp_python-0.1.74.tar.gz (1.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m18.7 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",
            "  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) (4.7.1)\n",
            "Requirement already satisfied: numpy>=1.20.0 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python) (1.22.4)\n",
            "Requirement already satisfied: diskcache>=5.6.1 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python) (5.6.1)\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-0.1.74-cp310-cp310-linux_x86_64.whl size=1330166 sha256=c5635696c3cb18ae293f93f2af61b55b5d9cde11cea7c1fc75087211a292221b\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-tivgxvns/wheels/e4/fe/48/cf667dccd2d15d9b61afdf51b4a7c3c843db1377e1ced97118\n",
            "Successfully built llama-cpp-python\n",
            "Installing collected packages: llama-cpp-python\n",
            "Successfully installed llama-cpp-python-0.1.74\n",
            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "d492a5|\u001b[1;32mOK\u001b[0m  |   231MiB/s|/content/text-generation-webui/models//mythoboros-13b.ggmlv3.q5_K_M.bin\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "2023-07-24 14:16:18 WARNING:\u001b[33mThe gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.\u001b[0m\n",
            "2023-07-24 14:16:24.837851: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "2023-07-24 14:16:27 INFO:\u001b[32mLoading mythoboros-13b.ggmlv3.q5_K_M.bin...\u001b[0m\n",
            "ggml_init_cublas: found 1 CUDA devices:\n",
            "  Device 0: Tesla T4, compute capability 7.5\n",
            "2023-07-24 14:16:38 INFO:\u001b[32mllama.cpp weights detected: models/mythoboros-13b.ggmlv3.q5_K_M.bin\n",
            "\u001b[0m\n",
            "2023-07-24 14:16:38 INFO:\u001b[32mCache capacity is 0 bytes\u001b[0m\n",
            "llama.cpp: loading model from models/mythoboros-13b.ggmlv3.q5_K_M.bin\n",
            "llama_model_load_internal: format     = ggjt v3 (latest)\n",
            "llama_model_load_internal: n_vocab    = 32000\n",
            "llama_model_load_internal: n_ctx      = 2048\n",
            "llama_model_load_internal: n_embd     = 5120\n",
            "llama_model_load_internal: n_mult     = 256\n",
            "llama_model_load_internal: n_head     = 40\n",
            "llama_model_load_internal: n_layer    = 40\n",
            "llama_model_load_internal: n_rot      = 128\n",
            "llama_model_load_internal: freq_base  = 10000.0\n",
            "llama_model_load_internal: freq_scale = 1\n",
            "llama_model_load_internal: ftype      = 17 (mostly Q5_K - Medium)\n",
            "llama_model_load_internal: n_ff       = 13824\n",
            "llama_model_load_internal: model size = 13B\n",
            "llama_model_load_internal: ggml ctx size =    0.09 MB\n",
            "llama_model_load_internal: using CUDA for GPU acceleration\n",
            "llama_model_load_internal: mem required  = 2077.52 MB (+ 1608.00 MB per state)\n",
            "llama_model_load_internal: allocating batch_size x (640 kB + n_ctx x 160 B) = 480 MB VRAM for the scratch buffer\n",
            "llama_model_load_internal: offloading 40 repeating layers to GPU\n",
            "llama_model_load_internal: offloading non-repeating layers to GPU\n",
            "llama_model_load_internal: offloading v cache to GPU\n",
            "llama_model_load_internal: offloading k cache to GPU\n",
            "llama_model_load_internal: offloaded 43/43 layers to GPU\n",
            "llama_model_load_internal: total VRAM used: 10783 MB\n",
            "llama_new_context_with_model: kv self size  = 1600.00 MB\n",
            "AVX = 1 | 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 | VSX = 0 | \n",
            "2023-07-24 14:18:12 INFO:\u001b[32mLoaded the model in 105.19 seconds.\n",
            "\u001b[0m\n",
            "2023-07-24 14:18:12 INFO:\u001b[32mLoading the extension \"gallery\"...\u001b[0m\n",
            "Running on local URL:  http://127.0.0.1:7860\n",
            "Running on public URL: https://25ed8b3aed067756f4.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =    32.12 ms /    20 runs   (    1.61 ms per token,   622.74 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1205.64 ms /    59 tokens (   20.43 ms per token,    48.94 tokens per second)\n",
            "llama_print_timings:        eval time =  1317.31 ms /    19 runs   (   69.33 ms per token,    14.42 tokens per second)\n",
            "llama_print_timings:       total time =  2770.27 ms\n",
            "Output generated in 3.71 seconds (5.12 tokens/s, 19 tokens, context 60, seed 378852366)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =    83.63 ms /    59 runs   (    1.42 ms per token,   705.46 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1400.46 ms /    80 tokens (   17.51 ms per token,    57.12 tokens per second)\n",
            "llama_print_timings:        eval time =  4071.20 ms /    58 runs   (   70.19 ms per token,    14.25 tokens per second)\n",
            "llama_print_timings:       total time =  6142.31 ms\n",
            "Output generated in 6.90 seconds (8.40 tokens/s, 58 tokens, context 110, seed 1298117727)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =   456.46 ms /   374 runs   (    1.22 ms per token,   819.35 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1014.97 ms /    59 tokens (   17.20 ms per token,    58.13 tokens per second)\n",
            "llama_print_timings:        eval time = 28487.95 ms /   373 runs   (   76.38 ms per token,    13.09 tokens per second)\n",
            "llama_print_timings:       total time = 32403.34 ms\n",
            "Output generated in 33.43 seconds (11.16 tokens/s, 373 tokens, context 89, seed 271280721)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =    28.07 ms /    29 runs   (    0.97 ms per token,  1033.32 tokens per second)\n",
            "llama_print_timings: prompt eval time =   995.14 ms /    60 tokens (   16.59 ms per token,    60.29 tokens per second)\n",
            "llama_print_timings:        eval time =  2070.00 ms /    28 runs   (   73.93 ms per token,    13.53 tokens per second)\n",
            "llama_print_timings:       total time =  3177.44 ms\n",
            "Output generated in 3.93 seconds (7.13 tokens/s, 28 tokens, context 90, seed 713578209)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =    17.82 ms /    19 runs   (    0.94 ms per token,  1066.40 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1001.24 ms /    54 tokens (   18.54 ms per token,    53.93 tokens per second)\n",
            "llama_print_timings:        eval time =  1342.31 ms /    18 runs   (   74.57 ms per token,    13.41 tokens per second)\n",
            "llama_print_timings:       total time =  2414.39 ms\n",
            "Output generated in 3.17 seconds (5.67 tokens/s, 18 tokens, context 84, seed 1337605711)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =     2.87 ms /     3 runs   (    0.96 ms per token,  1045.66 tokens per second)\n",
            "llama_print_timings: prompt eval time =   984.94 ms /    41 tokens (   24.02 ms per token,    41.63 tokens per second)\n",
            "llama_print_timings:        eval time =   152.53 ms /     2 runs   (   76.27 ms per token,    13.11 tokens per second)\n",
            "llama_print_timings:       total time =  1148.90 ms\n",
            "Output generated in 1.94 seconds (1.03 tokens/s, 2 tokens, context 71, seed 1488162846)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =     3.80 ms /     4 runs   (    0.95 ms per token,  1051.80 tokens per second)\n",
            "llama_print_timings: prompt eval time =   998.35 ms /    48 tokens (   20.80 ms per token,    48.08 tokens per second)\n",
            "llama_print_timings:        eval time =   237.87 ms /     3 runs   (   79.29 ms per token,    12.61 tokens per second)\n",
            "llama_print_timings:       total time =  1250.94 ms\n",
            "Output generated in 2.01 seconds (1.49 tokens/s, 3 tokens, context 78, seed 2095550187)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =     3.44 ms /     3 runs   (    1.15 ms per token,   871.84 tokens per second)\n",
            "llama_print_timings: prompt eval time =   708.99 ms /    28 tokens (   25.32 ms per token,    39.49 tokens per second)\n",
            "llama_print_timings:        eval time =   140.76 ms /     2 runs   (   70.38 ms per token,    14.21 tokens per second)\n",
            "llama_print_timings:       total time =   863.63 ms\n",
            "Output generated in 1.86 seconds (1.07 tokens/s, 2 tokens, context 58, seed 1297108593)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =    32.13 ms /    19 runs   (    1.69 ms per token,   591.33 tokens per second)\n",
            "llama_print_timings: prompt eval time =   712.83 ms /    17 tokens (   41.93 ms per token,    23.85 tokens per second)\n",
            "llama_print_timings:        eval time =  1243.89 ms /    18 runs   (   69.11 ms per token,    14.47 tokens per second)\n",
            "llama_print_timings:       total time =  2212.69 ms\n",
            "Output generated in 3.26 seconds (5.53 tokens/s, 18 tokens, context 47, seed 705132766)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =    12.49 ms /    13 runs   (    0.96 ms per token,  1040.58 tokens per second)\n",
            "llama_print_timings: prompt eval time =   998.38 ms /    55 tokens (   18.15 ms per token,    55.09 tokens per second)\n",
            "llama_print_timings:        eval time =   889.01 ms /    12 runs   (   74.08 ms per token,    13.50 tokens per second)\n",
            "llama_print_timings:       total time =  1936.74 ms\n",
            "Output generated in 2.72 seconds (4.41 tokens/s, 12 tokens, context 85, seed 1653858016)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =    15.49 ms /    10 runs   (    1.55 ms per token,   645.74 tokens per second)\n",
            "llama_print_timings: prompt eval time =   709.60 ms /    25 tokens (   28.38 ms per token,    35.23 tokens per second)\n",
            "llama_print_timings:        eval time =   634.61 ms /     9 runs   (   70.51 ms per token,    14.18 tokens per second)\n",
            "llama_print_timings:       total time =  1444.67 ms\n",
            "Output generated in 2.30 seconds (3.92 tokens/s, 9 tokens, context 55, seed 64258888)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =    24.67 ms /    26 runs   (    0.95 ms per token,  1054.00 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1984.93 ms /   184 tokens (   10.79 ms per token,    92.70 tokens per second)\n",
            "llama_print_timings:        eval time =  1896.80 ms /    25 runs   (   75.87 ms per token,    13.18 tokens per second)\n",
            "llama_print_timings:       total time =  3981.73 ms\n",
            "Output generated in 4.77 seconds (5.24 tokens/s, 25 tokens, context 214, seed 1657288585)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =    52.16 ms /    32 runs   (    1.63 ms per token,   613.51 tokens per second)\n",
            "llama_print_timings: prompt eval time =  3035.69 ms /   263 tokens (   11.54 ms per token,    86.64 tokens per second)\n",
            "llama_print_timings:        eval time =  2289.50 ms /    31 runs   (   73.85 ms per token,    13.54 tokens per second)\n",
            "llama_print_timings:       total time =  5711.65 ms\n",
            "Output generated in 6.83 seconds (4.54 tokens/s, 31 tokens, context 342, seed 20464079)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =    42.74 ms /    26 runs   (    1.64 ms per token,   608.32 tokens per second)\n",
            "llama_print_timings: prompt eval time =   708.28 ms /    16 tokens (   44.27 ms per token,    22.59 tokens per second)\n",
            "llama_print_timings:        eval time =  1775.69 ms /    25 runs   (   71.03 ms per token,    14.08 tokens per second)\n",
            "llama_print_timings:       total time =  2800.72 ms\n",
            "Output generated in 3.82 seconds (6.55 tokens/s, 25 tokens, context 46, seed 1111650948)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =    36.53 ms /    38 runs   (    0.96 ms per token,  1040.13 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1440.28 ms /    93 tokens (   15.49 ms per token,    64.57 tokens per second)\n",
            "llama_print_timings:        eval time =  2851.29 ms /    37 runs   (   77.06 ms per token,    12.98 tokens per second)\n",
            "llama_print_timings:       total time =  4442.99 ms\n",
            "Output generated in 5.25 seconds (7.05 tokens/s, 37 tokens, context 123, seed 1458402680)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.80 ms\n",
            "llama_print_timings:      sample time =   140.61 ms /    96 runs   (    1.46 ms per token,   682.75 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1973.37 ms /   175 tokens (   11.28 ms per token,    88.68 tokens per second)\n",
            "llama_print_timings:        eval time =  7178.53 ms /    95 runs   (   75.56 ms per token,    13.23 tokens per second)\n",
            "llama_print_timings:       total time = 10079.65 ms\n",
            "Output generated in 10.84 seconds (8.76 tokens/s, 95 tokens, context 205, seed 743157566)\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "!apt-get -y install -qq aria2\n",
        "\n",
        "!git clone -b V20230720 https://github.com/Troyanovsky/text-generation-webui\n",
        "%cd /content/text-generation-webui\n",
        "!pip install -r requirements.txt\n",
        "!pip install -U gradio==3.32.0\n",
        "\n",
        "!pip uninstall -y llama-cpp-python\n",
        "!CMAKE_ARGS=\"-DLLAMA_CUBLAS=on\" FORCE_CMAKE=1 pip install llama-cpp-python==0.1.78 --no-cache-dir\n",
        "\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/MythoBoros-13B-GGML/resolve/main/mythoboros-13b.ggmlv3.q5_K_M.bin -d /content/text-generation-webui/models/ -o mythoboros-13b.ggmlv3.q5_K_M.bin\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --chat --n-gpu-layers 200000 --model mythoboros-13b.ggmlv3.q5_K_M.bin"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyOAKT1lCq4Ei5aw6998KX19",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}