Redmond_Puffin_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/Redmond_Puffin_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": [
        "## Redmond-Puffin-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:\n",
        "\n",
        "```\n",
        "### human:\n",
        "### response:\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "4e8d7010-8826-43ff-82d4-48162bcec633"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "\n",
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            "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",
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            "  git switch -c <new-branch-name>\n",
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            "Building wheels for collected packages: llama-cpp-python, peft, ffmpy, pathtools\n",
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            "  Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=30257f156b78900713be8e8dc13c85c9d3e349409bdf44abf8a283e7c3df08ce\n",
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            "  Created wheel for pathtools: filename=pathtools-0.1.2-py3-none-any.whl size=8791 sha256=43ea379e22b7a94c02ef33790663640f247f9b3f73faebcc14f42bf983c6fb25\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",
            "    Found existing installation: markdown-it-py 3.0.0\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": {
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                ]
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          "metadata": {}
        },
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          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Installing collected packages: gradio\n",
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            "Collecting llama-cpp-python\n",
            "  Downloading llama_cpp_python-0.1.73.tar.gz (1.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m34.5 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-0.1.73-cp310-cp310-linux_x86_64.whl size=487284 sha256=1768505d722cf9cebd7c6fa53717bfd305c3c79237b4d6651165cd7054cdab4a\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-s05mhj8z/wheels/69/6a/cb/41fd7c0f7f77613d996b4981a3e9b345d2b416b016786956bc\n",
            "Successfully built llama-cpp-python\n",
            "Installing collected packages: llama-cpp-python\n",
            "Successfully installed llama-cpp-python-0.1.73\n",
            " *** Download Progress Summary as of Thu Jul 20 15:02:22 2023 *** \n",
            "=\n",
            "[#7af51d 6.9GiB/8.7GiB(79%) CN:16 DL:77MiB ETA:23s]\n",
            "FILE: /content/text-generation-webui/models//redmond-puffin-13b.ggmlv3.q5_K_M.bin\n",
            "-\n",
            "\n",
            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "7af51d|\u001b[1;32mOK\u001b[0m  |    95MiB/s|/content/text-generation-webui/models//redmond-puffin-13b.ggmlv3.q5_K_M.bin\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "2023-07-20 15:03:02 WARNING:\u001b[33mThe gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.\u001b[0m\n",
            "2023-07-20 15:03:09.056291: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "2023-07-20 15:03:11 INFO:\u001b[32mLoading redmond-puffin-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",
            "2023-07-20 15:03:22 INFO:\u001b[32mllama.cpp weights detected: models/redmond-puffin-13b.ggmlv3.q5_K_M.bin\n",
            "\u001b[0m\n",
            "2023-07-20 15:03:22 INFO:\u001b[32mCache capacity is 0 bytes\u001b[0m\n",
            "llama.cpp: loading model from models/redmond-puffin-13b.ggmlv3.q5_K_M.bin\n",
            "llama_model_load_internal: format     = ggjt v3 (latest)\n",
            "llama_model_load_internal: n_vocab    = 32032\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  = 2058.08 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: 10967 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",
            "2023-07-20 15:04:40 INFO:\u001b[32mLoaded the model in 88.88 seconds.\n",
            "\u001b[0m\n",
            "2023-07-20 15:04:40 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://b8521d369c1c772290.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 =  1108.38 ms\n",
            "llama_print_timings:      sample time =    19.22 ms /    20 runs   (    0.96 ms per token,  1040.53 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1108.27 ms /    33 tokens (   33.58 ms per token,    29.78 tokens per second)\n",
            "llama_print_timings:        eval time =  1421.74 ms /    19 runs   (   74.83 ms per token,    13.36 tokens per second)\n",
            "llama_print_timings:       total time =  2612.86 ms\n",
            "Output generated in 3.36 seconds (5.65 tokens/s, 19 tokens, context 34, seed 956221225)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =    62.99 ms /    66 runs   (    0.95 ms per token,  1047.85 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1419.44 ms /    79 tokens (   17.97 ms per token,    55.66 tokens per second)\n",
            "llama_print_timings:        eval time =  4954.42 ms /    65 runs   (   76.22 ms per token,    13.12 tokens per second)\n",
            "llama_print_timings:       total time =  6621.28 ms\n",
            "Output generated in 7.37 seconds (8.82 tokens/s, 65 tokens, context 84, seed 680249881)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =   615.20 ms /   475 runs   (    1.30 ms per token,   772.10 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1028.46 ms /    58 tokens (   17.73 ms per token,    56.40 tokens per second)\n",
            "llama_print_timings:        eval time = 38163.03 ms /   474 runs   (   80.51 ms per token,    12.42 tokens per second)\n",
            "llama_print_timings:       total time = 42932.99 ms\n",
            "Output generated in 43.82 seconds (10.82 tokens/s, 474 tokens, context 63, seed 649628702)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =     1.73 ms /     1 runs   (    1.73 ms per token,   577.70 tokens per second)\n",
            "llama_print_timings: prompt eval time =  3967.57 ms /   473 tokens (    8.39 ms per token,   119.22 tokens per second)\n",
            "llama_print_timings:        eval time =     0.00 ms /     1 runs   (    0.00 ms per token,      inf tokens per second)\n",
            "llama_print_timings:       total time =  3974.58 ms\n",
            "Output generated in 5.01 seconds (0.00 tokens/s, 0 tokens, context 536, seed 1823979607)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =    23.26 ms /    23 runs   (    1.01 ms per token,   988.99 tokens per second)\n",
            "llama_print_timings: prompt eval time =   995.75 ms /    59 tokens (   16.88 ms per token,    59.25 tokens per second)\n",
            "llama_print_timings:        eval time =  1681.06 ms /    22 runs   (   76.41 ms per token,    13.09 tokens per second)\n",
            "llama_print_timings:       total time =  2765.09 ms\n",
            "Output generated in 3.52 seconds (6.25 tokens/s, 22 tokens, context 64, seed 2037515217)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =    10.67 ms /    11 runs   (    0.97 ms per token,  1030.93 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1014.69 ms /    53 tokens (   19.15 ms per token,    52.23 tokens per second)\n",
            "llama_print_timings:        eval time =   763.75 ms /    10 runs   (   76.38 ms per token,    13.09 tokens per second)\n",
            "llama_print_timings:       total time =  1819.75 ms\n",
            "Output generated in 2.58 seconds (3.87 tokens/s, 10 tokens, context 58, seed 1311931706)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =     5.66 ms /     6 runs   (    0.94 ms per token,  1060.45 tokens per second)\n",
            "llama_print_timings: prompt eval time =   989.58 ms /    40 tokens (   24.74 ms per token,    40.42 tokens per second)\n",
            "llama_print_timings:        eval time =   414.39 ms /     5 runs   (   82.88 ms per token,    12.07 tokens per second)\n",
            "llama_print_timings:       total time =  1425.12 ms\n",
            "Output generated in 2.20 seconds (2.28 tokens/s, 5 tokens, context 45, seed 911137384)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =     5.61 ms /     3 runs   (    1.87 ms per token,   535.05 tokens per second)\n",
            "llama_print_timings: prompt eval time =   993.18 ms /    47 tokens (   21.13 ms per token,    47.32 tokens per second)\n",
            "llama_print_timings:        eval time =   159.51 ms /     2 runs   (   79.75 ms per token,    12.54 tokens per second)\n",
            "llama_print_timings:       total time =  1172.39 ms\n",
            "Output generated in 2.11 seconds (0.95 tokens/s, 2 tokens, context 52, seed 2442409)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =     2.96 ms /     3 runs   (    0.99 ms per token,  1014.20 tokens per second)\n",
            "llama_print_timings: prompt eval time =   714.73 ms /    27 tokens (   26.47 ms per token,    37.78 tokens per second)\n",
            "llama_print_timings:        eval time =   151.41 ms /     2 runs   (   75.71 ms per token,    13.21 tokens per second)\n",
            "llama_print_timings:       total time =   876.95 ms\n",
            "Output generated in 1.64 seconds (1.22 tokens/s, 2 tokens, context 32, seed 1525234838)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =    47.08 ms /    48 runs   (    0.98 ms per token,  1019.48 tokens per second)\n",
            "llama_print_timings: prompt eval time =   702.88 ms /    16 tokens (   43.93 ms per token,    22.76 tokens per second)\n",
            "llama_print_timings:        eval time =  3655.89 ms /    47 runs   (   77.78 ms per token,    12.86 tokens per second)\n",
            "llama_print_timings:       total time =  4538.45 ms\n",
            "Output generated in 5.35 seconds (8.79 tokens/s, 47 tokens, context 21, seed 967536582)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =    89.70 ms /    66 runs   (    1.36 ms per token,   735.82 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1010.65 ms /    54 tokens (   18.72 ms per token,    53.43 tokens per second)\n",
            "llama_print_timings:        eval time =  4944.29 ms /    65 runs   (   76.07 ms per token,    13.15 tokens per second)\n",
            "llama_print_timings:       total time =  6414.30 ms\n",
            "Output generated in 7.18 seconds (9.06 tokens/s, 65 tokens, context 59, seed 107314120)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =    19.27 ms /    10 runs   (    1.93 ms per token,   519.00 tokens per second)\n",
            "llama_print_timings: prompt eval time =   715.18 ms /    24 tokens (   29.80 ms per token,    33.56 tokens per second)\n",
            "llama_print_timings:        eval time =   662.58 ms /     9 runs   (   73.62 ms per token,    13.58 tokens per second)\n",
            "llama_print_timings:       total time =  1498.80 ms\n",
            "Output generated in 2.50 seconds (3.60 tokens/s, 9 tokens, context 29, seed 677901994)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =   223.31 ms /   180 runs   (    1.24 ms per token,   806.04 tokens per second)\n",
            "llama_print_timings: prompt eval time =  2110.82 ms /   183 tokens (   11.53 ms per token,    86.70 tokens per second)\n",
            "llama_print_timings:        eval time = 14717.04 ms /   179 runs   (   82.22 ms per token,    12.16 tokens per second)\n",
            "llama_print_timings:       total time = 18103.16 ms\n",
            "Output generated in 18.87 seconds (9.49 tokens/s, 179 tokens, context 188, seed 1224251214)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =    80.38 ms /    48 runs   (    1.67 ms per token,   597.18 tokens per second)\n",
            "llama_print_timings: prompt eval time =  3126.41 ms /   262 tokens (   11.93 ms per token,    83.80 tokens per second)\n",
            "llama_print_timings:        eval time =  3664.33 ms /    47 runs   (   77.96 ms per token,    12.83 tokens per second)\n",
            "llama_print_timings:       total time =  7301.05 ms\n",
            "Output generated in 8.22 seconds (5.72 tokens/s, 47 tokens, context 316, seed 1837794437)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =     5.73 ms /     5 runs   (    1.15 ms per token,   873.21 tokens per second)\n",
            "llama_print_timings: prompt eval time =   697.18 ms /    15 tokens (   46.48 ms per token,    21.52 tokens per second)\n",
            "llama_print_timings:        eval time =   298.87 ms /     4 runs   (   74.72 ms per token,    13.38 tokens per second)\n",
            "llama_print_timings:       total time =  1025.94 ms\n",
            "Output generated in 1.78 seconds (2.25 tokens/s, 4 tokens, context 20, seed 2048226224)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1108.38 ms\n",
            "llama_print_timings:      sample time =    50.74 ms /    28 runs   (    1.81 ms per token,   551.85 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1447.78 ms /    92 tokens (   15.74 ms per token,    63.55 tokens per second)\n",
            "llama_print_timings:        eval time =  2032.77 ms /    27 runs   (   75.29 ms per token,    13.28 tokens per second)\n",
            "llama_print_timings:       total time =  3794.24 ms\n",
            "Output generated in 4.84 seconds (5.57 tokens/s, 27 tokens, context 97, seed 841700673)\n",
            "Llama.generate: prefix-match hit\n",
            "Output generated in 18.96 seconds (9.65 tokens/s, 183 tokens, context 179, seed 397140867)\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/Redmond-Puffin-13B-GGML/resolve/main/redmond-puffin-13b.ggmlv3.q5_K_M.bin -d /content/text-generation-webui/models/ -o redmond-puffin-13b.ggmlv3.q5_K_M.bin\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --chat --n-gpu-layers 200000 --model redmond-puffin-13b.ggmlv3.q5_K_M.bin"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyPenZ2VSrvq2fH0RyRg0aD5",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}