Kimiko_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-Colab-UI/blob/main/Kimiko_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": [
        "## Kimiko-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: Kimiko\n",
        "\n",
        "```\n",
        "<<HUMAN>>\n",
        "{prompt}\n",
        "\n",
        "<<AIBOT>>\n",
        "```\n",
        "\n",
        "For role play (uncensored):\n",
        "```\n",
        "<<SYSTEM>>\n",
        "A's Persona:\n",
        "B's Persona:\n",
        "Scenario:\n",
        "Add some instruction here on how you want your RP to go.\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "105eeff8-d710-4347-d69a-8e3b1d34fe3b"
      },
      "outputs": [
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content\n",
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            "\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",
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            "\n",
            "/content/text-generation-webui\n",
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            "Building wheels for collected packages: llama-cpp-python, peft, ffmpy, pathtools\n",
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            "  Created wheel for pathtools: filename=pathtools-0.1.2-py3-none-any.whl size=8791 sha256=cbde7aef0e4a2cd78990616a312f0cc8257e7c000e17f6b7e3252c5e6f98b5e3\n",
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            "Successfully built llama-cpp-python peft ffmpy pathtools\n",
            "Installing collected packages: tokenizers, sentencepiece, safetensors, pydub, pathtools, ffmpy, bitsandbytes, xxhash, websockets, 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-cuda, llama-cpp-python, huggingface-hub, httpcore, gitdb, transformers, httpx, GitPython, fastapi, wandb, gradio_client, datasets, gradio, accelerate, peft, exllama, 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: markdown-it-py\n",
            "    Found existing installation: markdown-it-py 3.0.0\n",
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            "      Successfully uninstalled markdown-it-py-3.0.0\n",
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            "    Found existing installation: mdit-py-plugins 0.4.0\n",
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            "      Successfully uninstalled mdit-py-plugins-0.4.0\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-0.41.0 colorama-0.4.6 datasets-2.14.2 dill-0.3.7 diskcache-5.6.1 docker-pycreds-0.4.0 einops-0.6.1 exllama-0.0.9+cu117 fastapi-0.95.2 ffmpy-0.3.1 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 llama-cpp-python-0.1.77 llama-cpp-python-cuda-0.1.77+cu117 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 multiprocess-0.70.15 orjson-3.9.2 pathtools-0.1.2 peft-0.5.0.dev0 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-1.29.0 setproctitle-1.3.2 smmap-5.0.0 starlette-0.27.0 tokenizers-0.13.3 transformers-4.31.0 uvicorn-0.23.2 wandb-0.15.7 websockets-11.0.3 xxhash-3.3.0\n"
          ]
        },
        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
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                ]
              }
            }
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Collecting llama-cpp-python\n",
            "  Downloading llama_cpp_python-0.1.77.tar.gz (1.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m15.7 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-0.1.77-cp310-cp310-linux_x86_64.whl size=1368642 sha256=1306fac5f19823f19f8a0553bd617ed034bbd10c3dea8fdd0bb125f0cc72615e\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-khltbyak/wheels/aa/ed/39/87f2ad350dbbf13b600ac744899186b8647c5323c62e2bb348\n",
            "Successfully built llama-cpp-python\n",
            "Installing collected packages: llama-cpp-python\n",
            "Successfully installed llama-cpp-python-0.1.77\n",
            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "b87989|\u001b[1;32mOK\u001b[0m  |   242MiB/s|/content/text-generation-webui/models//kimiko-13b.ggmlv3.q5_K_M.bin\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "2023-08-01 07:50:04 WARNING:\u001b[33mThe gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.\u001b[0m\n",
            "2023-08-01 07:50:10.131527: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "2023-08-01 07:50:11 INFO:\u001b[32mLoading kimiko-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",
            "2023-08-01 07:50:22 INFO:\u001b[32mllama.cpp weights detected: models/kimiko-13b.ggmlv3.q5_K_M.bin\n",
            "\u001b[0m\n",
            "2023-08-01 07:50:22 INFO:\u001b[32mCache capacity is 0 bytes\u001b[0m\n",
            "llama.cpp: loading model from models/kimiko-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_head_kv  = 40\n",
            "llama_model_load_internal: n_layer    = 40\n",
            "llama_model_load_internal: n_rot      = 128\n",
            "llama_model_load_internal: n_gqa      = 1\n",
            "llama_model_load_internal: rnorm_eps  = 1.0e-06\n",
            "llama_model_load_internal: n_ff       = 13824\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: model size = 13B\n",
            "llama_model_load_internal: ggml ctx size =    0.11 MB\n",
            "llama_model_load_internal: using CUDA for GPU acceleration\n",
            "llama_model_load_internal: mem required  =  601.53 MB (+ 1600.00 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: 10775 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",
            "2023-08-01 07:51:44 INFO:\u001b[32mLoaded the model in 92.29 seconds.\n",
            "\u001b[0m\n",
            "2023-08-01 07:51:44 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://944f538e91e174bd9e.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 =  1124.26 ms\n",
            "llama_print_timings:      sample time =    44.62 ms /    83 runs   (    0.54 ms per token,  1860.07 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1124.15 ms /    38 tokens (   29.58 ms per token,    33.80 tokens per second)\n",
            "llama_print_timings:        eval time =  4344.85 ms /    82 runs   (   52.99 ms per token,    18.87 tokens per second)\n",
            "llama_print_timings:       total time =  5731.33 ms\n",
            "Output generated in 6.48 seconds (12.65 tokens/s, 82 tokens, context 38, seed 1443851485)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =    82.99 ms /    99 runs   (    0.84 ms per token,  1192.89 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1333.64 ms /    81 tokens (   16.46 ms per token,    60.74 tokens per second)\n",
            "llama_print_timings:        eval time =  5088.94 ms /    98 runs   (   51.93 ms per token,    19.26 tokens per second)\n",
            "llama_print_timings:       total time =  7348.93 ms\n",
            "Output generated in 8.09 seconds (12.11 tokens/s, 98 tokens, context 88, seed 264346861)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =   298.20 ms /   448 runs   (    0.67 ms per token,  1502.36 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1006.40 ms /    60 tokens (   16.77 ms per token,    59.62 tokens per second)\n",
            "llama_print_timings:        eval time = 24760.84 ms /   447 runs   (   55.39 ms per token,    18.05 tokens per second)\n",
            "llama_print_timings:       total time = 28374.45 ms\n",
            "Output generated in 29.20 seconds (15.31 tokens/s, 447 tokens, context 67, seed 261621733)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =   207.15 ms /   290 runs   (    0.71 ms per token,  1399.93 tokens per second)\n",
            "llama_print_timings: prompt eval time =   975.00 ms /    61 tokens (   15.98 ms per token,    62.56 tokens per second)\n",
            "llama_print_timings:        eval time = 15907.71 ms /   289 runs   (   55.04 ms per token,    18.17 tokens per second)\n",
            "llama_print_timings:       total time = 18781.05 ms\n",
            "Output generated in 19.81 seconds (14.59 tokens/s, 289 tokens, context 68, seed 419431288)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =    23.89 ms /    25 runs   (    0.96 ms per token,  1046.29 tokens per second)\n",
            "llama_print_timings: prompt eval time =   975.62 ms /    55 tokens (   17.74 ms per token,    56.37 tokens per second)\n",
            "llama_print_timings:        eval time =  1226.56 ms /    24 runs   (   51.11 ms per token,    19.57 tokens per second)\n",
            "llama_print_timings:       total time =  2480.57 ms\n",
            "Output generated in 3.47 seconds (6.92 tokens/s, 24 tokens, context 62, seed 830556484)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =    11.56 ms /    22 runs   (    0.53 ms per token,  1902.62 tokens per second)\n",
            "llama_print_timings: prompt eval time =   970.28 ms /    42 tokens (   23.10 ms per token,    43.29 tokens per second)\n",
            "llama_print_timings:        eval time =  1125.18 ms /    21 runs   (   53.58 ms per token,    18.66 tokens per second)\n",
            "llama_print_timings:       total time =  2162.21 ms\n",
            "Output generated in 2.89 seconds (7.26 tokens/s, 21 tokens, context 49, seed 1066357992)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =     4.76 ms /     9 runs   (    0.53 ms per token,  1891.55 tokens per second)\n",
            "llama_print_timings: prompt eval time =   976.35 ms /    49 tokens (   19.93 ms per token,    50.19 tokens per second)\n",
            "llama_print_timings:        eval time =   435.83 ms /     8 runs   (   54.48 ms per token,    18.36 tokens per second)\n",
            "llama_print_timings:       total time =  1439.87 ms\n",
            "Output generated in 2.22 seconds (3.61 tokens/s, 8 tokens, context 56, seed 108009460)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =    19.35 ms /    31 runs   (    0.62 ms per token,  1602.32 tokens per second)\n",
            "llama_print_timings: prompt eval time =   695.76 ms /    29 tokens (   23.99 ms per token,    41.68 tokens per second)\n",
            "llama_print_timings:        eval time =  1573.49 ms /    30 runs   (   52.45 ms per token,    19.07 tokens per second)\n",
            "llama_print_timings:       total time =  2407.47 ms\n",
            "Output generated in 3.21 seconds (9.34 tokens/s, 30 tokens, context 36, seed 1479276684)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =     0.52 ms /     1 runs   (    0.52 ms per token,  1937.98 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 =    75.13 ms /     1 runs   (   75.13 ms per token,    13.31 tokens per second)\n",
            "llama_print_timings:       total time =    78.70 ms\n",
            "Output generated in 0.95 seconds (0.00 tokens/s, 0 tokens, context 66, seed 2048343183)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =    26.43 ms /    40 runs   (    0.66 ms per token,  1513.72 tokens per second)\n",
            "llama_print_timings: prompt eval time =   695.60 ms /    18 tokens (   38.64 ms per token,    25.88 tokens per second)\n",
            "llama_print_timings:        eval time =  2049.40 ms /    39 runs   (   52.55 ms per token,    19.03 tokens per second)\n",
            "llama_print_timings:       total time =  2915.37 ms\n",
            "Output generated in 3.63 seconds (10.73 tokens/s, 39 tokens, context 25, seed 1148184970)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =     5.47 ms /    10 runs   (    0.55 ms per token,  1826.82 tokens per second)\n",
            "llama_print_timings: prompt eval time =   979.65 ms /    56 tokens (   17.49 ms per token,    57.16 tokens per second)\n",
            "llama_print_timings:        eval time =   475.67 ms /     9 runs   (   52.85 ms per token,    18.92 tokens per second)\n",
            "llama_print_timings:       total time =  1487.32 ms\n",
            "Output generated in 2.26 seconds (3.98 tokens/s, 9 tokens, context 63, seed 439933259)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =     5.34 ms /    10 runs   (    0.53 ms per token,  1873.01 tokens per second)\n",
            "llama_print_timings: prompt eval time =   690.27 ms /    26 tokens (   26.55 ms per token,    37.67 tokens per second)\n",
            "llama_print_timings:        eval time =   463.13 ms /     9 runs   (   51.46 ms per token,    19.43 tokens per second)\n",
            "llama_print_timings:       total time =  1184.02 ms\n",
            "Output generated in 1.95 seconds (4.62 tokens/s, 9 tokens, context 33, seed 1958678429)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =    41.21 ms /    75 runs   (    0.55 ms per token,  1819.99 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1823.45 ms /   185 tokens (    9.86 ms per token,   101.46 tokens per second)\n",
            "llama_print_timings:        eval time =  4026.92 ms /    74 runs   (   54.42 ms per token,    18.38 tokens per second)\n",
            "llama_print_timings:       total time =  6088.80 ms\n",
            "Output generated in 6.86 seconds (10.79 tokens/s, 74 tokens, context 192, seed 1008741073)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =   132.48 ms /   210 runs   (    0.63 ms per token,  1585.13 tokens per second)\n",
            "llama_print_timings: prompt eval time =  2752.24 ms /   264 tokens (   10.43 ms per token,    95.92 tokens per second)\n",
            "llama_print_timings:        eval time = 11842.51 ms /   209 runs   (   56.66 ms per token,    17.65 tokens per second)\n",
            "llama_print_timings:       total time = 15615.50 ms\n",
            "Output generated in 16.63 seconds (12.57 tokens/s, 209 tokens, context 320, seed 1858763421)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =    23.60 ms /    43 runs   (    0.55 ms per token,  1822.11 tokens per second)\n",
            "llama_print_timings: prompt eval time =   690.60 ms /    17 tokens (   40.62 ms per token,    24.62 tokens per second)\n",
            "llama_print_timings:        eval time =  2220.93 ms /    42 runs   (   52.88 ms per token,    18.91 tokens per second)\n",
            "llama_print_timings:       total time =  3045.63 ms\n",
            "Output generated in 3.81 seconds (11.02 tokens/s, 42 tokens, context 24, seed 1860695887)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =    21.30 ms /    39 runs   (    0.55 ms per token,  1831.42 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1342.10 ms /    94 tokens (   14.28 ms per token,    70.04 tokens per second)\n",
            "llama_print_timings:        eval time =  2007.21 ms /    38 runs   (   52.82 ms per token,    18.93 tokens per second)\n",
            "llama_print_timings:       total time =  3479.34 ms\n",
            "Output generated in 4.28 seconds (8.87 tokens/s, 38 tokens, context 101, seed 1166589518)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1124.26 ms\n",
            "llama_print_timings:      sample time =   208.38 ms /   334 runs   (    0.62 ms per token,  1602.81 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1769.38 ms /   176 tokens (   10.05 ms per token,    99.47 tokens per second)\n",
            "llama_print_timings:        eval time = 18548.94 ms /   333 runs   (   55.70 ms per token,    17.95 tokens per second)\n",
            "llama_print_timings:       total time = 21986.28 ms\n",
            "Output generated in 22.94 seconds (14.52 tokens/s, 333 tokens, context 183, seed 1748098996)\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "!apt-get -y install -qq aria2\n",
        "\n",
        "!git clone -b V20230801 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 --no-cache-dir\n",
        "\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/Kimiko-13B-GGML/resolve/main/kimiko-13b.ggmlv3.q5_K_M.bin -d /content/text-generation-webui/models/ -o kimiko-13b.ggmlv3.q5_K_M.bin\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --chat --n-gpu-layers 200000 --model kimiko-13b.ggmlv3.q5_K_M.bin"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNFul5f2mwP32oPvQYH8SGk",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}