Huginn_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/Huginn_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": [
        "## Huginn-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:\n",
        "{prompt}\n",
        "\n",
        "### Response:\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "523c3ebd-9b0b-4ad3-ed13-c9819b5964ca"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Cloning into 'text-generation-webui'...\n",
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            "Note: switching to 'ebb4f22028316821c3c14ad91b45e01d309f1ff0'.\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-hhodu01r\n",
            "  Running command git rev-parse -q --verify 'sha^96c0277a1b9a381b10ab34dbf84917f9b3b992e6'\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=e0cb506eb426c1daa89eaebd57a6a71d7eb0d827990cdc2402d73d7ce5f983af\n",
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            "  Created wheel for pathtools: filename=pathtools-0.1.2-py3-none-any.whl size=8791 sha256=da651f148493a47f2c0662364cf59cb3fad329b9bf0e934c856d73faa6155bc7\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",
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            "  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-23.2.1 auto-gptq-0.3.0+cu117 bitsandbytes-0.41.0 colorama-0.4.6 datasets-2.14.4 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-3.9.4 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-1.29.2 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-0.15.8 websockets-11.0.3 xxhash-3.3.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
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                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Installing collected packages: gradio\n",
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m33.7 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) (1.23.5)\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=1368884 sha256=3c19c91572d14cc9ffd84e2240eb35aa8d00da2a39cb6e9e6382617419e29e33\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-tt02cy9i/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",
            "01adef|\u001b[1;32mOK\u001b[0m  |   190MiB/s|/content/text-generation-webui/models//huggin-13b.ggmlv3.q5_K_M.bin\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "2023-08-10 04:15:37 WARNING:\u001b[33mThe gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.\u001b[0m\n",
            "2023-08-10 04:15:44.608983: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "2023-08-10 04:15:47 INFO:\u001b[32mLoading huggin-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",
            "2023-08-10 04:15:57 INFO:\u001b[32mllama.cpp weights detected: models/huggin-13b.ggmlv3.q5_K_M.bin\n",
            "\u001b[0m\n",
            "2023-08-10 04:15:57 INFO:\u001b[32mCache capacity is 0 bytes\u001b[0m\n",
            "llama.cpp: loading model from models/huggin-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     = 6912\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",
            "2023-08-10 04:17:21 INFO:\u001b[32mLoaded the model in 94.19 seconds.\n",
            "\u001b[0m\n",
            "2023-08-10 04:17:21 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://1094c6521681a9e333.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 =  1205.44 ms\n",
            "llama_print_timings:      sample time =    11.18 ms /    20 runs   (    0.56 ms per token,  1788.59 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1205.31 ms /    59 tokens (   20.43 ms per token,    48.95 tokens per second)\n",
            "llama_print_timings:        eval time =  1042.22 ms /    19 runs   (   54.85 ms per token,    18.23 tokens per second)\n",
            "llama_print_timings:       total time =  2421.09 ms\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =    34.27 ms /    59 runs   (    0.58 ms per token,  1721.47 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1385.45 ms /    80 tokens (   17.32 ms per token,    57.74 tokens per second)\n",
            "llama_print_timings:        eval time =  3268.33 ms /    58 runs   (   56.35 ms per token,    17.75 tokens per second)\n",
            "llama_print_timings:       total time =  4855.46 ms\n",
            "Output generated in 5.69 seconds (10.19 tokens/s, 58 tokens, context 110, seed 1814806239)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =   552.15 ms /   800 runs   (    0.69 ms per token,  1448.87 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1002.56 ms /    59 tokens (   16.99 ms per token,    58.85 tokens per second)\n",
            "llama_print_timings:        eval time = 49005.07 ms /   799 runs   (   61.33 ms per token,    16.30 tokens per second)\n",
            "llama_print_timings:       total time = 55395.74 ms\n",
            "Output generated in 56.22 seconds (14.23 tokens/s, 800 tokens, context 89, seed 2102431536)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =   311.21 ms /   441 runs   (    0.71 ms per token,  1417.05 tokens per second)\n",
            "llama_print_timings: prompt eval time =  7295.84 ms /   801 tokens (    9.11 ms per token,   109.79 tokens per second)\n",
            "llama_print_timings:        eval time = 30343.60 ms /   440 runs   (   68.96 ms per token,    14.50 tokens per second)\n",
            "llama_print_timings:       total time = 40969.94 ms\n",
            "Output generated in 41.81 seconds (10.52 tokens/s, 440 tokens, context 890, seed 1770046078)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =   209.47 ms /   244 runs   (    0.86 ms per token,  1164.85 tokens per second)\n",
            "llama_print_timings: prompt eval time =   988.77 ms /    60 tokens (   16.48 ms per token,    60.68 tokens per second)\n",
            "llama_print_timings:        eval time = 13819.88 ms /   243 runs   (   56.87 ms per token,    17.58 tokens per second)\n",
            "llama_print_timings:       total time = 16918.23 ms\n",
            "Output generated in 18.00 seconds (13.50 tokens/s, 243 tokens, context 90, seed 2069571147)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =    18.03 ms /    19 runs   (    0.95 ms per token,  1053.62 tokens per second)\n",
            "llama_print_timings: prompt eval time =   994.00 ms /    54 tokens (   18.41 ms per token,    54.33 tokens per second)\n",
            "llama_print_timings:        eval time =   982.65 ms /    18 runs   (   54.59 ms per token,    18.32 tokens per second)\n",
            "llama_print_timings:       total time =  2176.79 ms\n",
            "Output generated in 3.27 seconds (5.51 tokens/s, 18 tokens, context 84, seed 66709354)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =     1.62 ms /     3 runs   (    0.54 ms per token,  1856.44 tokens per second)\n",
            "llama_print_timings: prompt eval time =   963.79 ms /    41 tokens (   23.51 ms per token,    42.54 tokens per second)\n",
            "llama_print_timings:        eval time =   116.09 ms /     2 runs   (   58.05 ms per token,    17.23 tokens per second)\n",
            "llama_print_timings:       total time =  1088.60 ms\n",
            "Output generated in 2.08 seconds (0.96 tokens/s, 2 tokens, context 71, seed 1933732964)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =     1.09 ms /     2 runs   (    0.55 ms per token,  1834.86 tokens per second)\n",
            "llama_print_timings: prompt eval time =   979.39 ms /    48 tokens (   20.40 ms per token,    49.01 tokens per second)\n",
            "llama_print_timings:        eval time =    53.01 ms /     1 runs   (   53.01 ms per token,    18.87 tokens per second)\n",
            "llama_print_timings:       total time =  1038.44 ms\n",
            "Output generated in 1.87 seconds (0.53 tokens/s, 1 tokens, context 78, seed 1067076685)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =    32.98 ms /    49 runs   (    0.67 ms per token,  1485.79 tokens per second)\n",
            "llama_print_timings: prompt eval time =   764.77 ms /    10 tokens (   76.48 ms per token,    13.08 tokens per second)\n",
            "llama_print_timings:        eval time =  2755.55 ms /    48 runs   (   57.41 ms per token,    17.42 tokens per second)\n",
            "llama_print_timings:       total time =  3737.19 ms\n",
            "Output generated in 4.57 seconds (10.50 tokens/s, 48 tokens, context 88, seed 1021561412)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =     1.97 ms /     2 runs   (    0.98 ms per token,  1015.74 tokens per second)\n",
            "llama_print_timings: prompt eval time =   706.22 ms /    28 tokens (   25.22 ms per token,    39.65 tokens per second)\n",
            "llama_print_timings:        eval time =    51.32 ms /     1 runs   (   51.32 ms per token,    19.49 tokens per second)\n",
            "llama_print_timings:       total time =   768.48 ms\n",
            "Output generated in 1.88 seconds (0.53 tokens/s, 1 tokens, context 58, seed 50873208)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =    10.91 ms /    20 runs   (    0.55 ms per token,  1833.52 tokens per second)\n",
            "llama_print_timings: prompt eval time =   697.81 ms /    17 tokens (   41.05 ms per token,    24.36 tokens per second)\n",
            "llama_print_timings:        eval time =  1131.80 ms /    19 runs   (   59.57 ms per token,    16.79 tokens per second)\n",
            "llama_print_timings:       total time =  1896.36 ms\n",
            "Output generated in 2.71 seconds (7.00 tokens/s, 19 tokens, context 47, seed 1425742059)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =    17.13 ms /    30 runs   (    0.57 ms per token,  1751.31 tokens per second)\n",
            "llama_print_timings: prompt eval time =   997.70 ms /    55 tokens (   18.14 ms per token,    55.13 tokens per second)\n",
            "llama_print_timings:        eval time =  1698.84 ms /    29 runs   (   58.58 ms per token,    17.07 tokens per second)\n",
            "llama_print_timings:       total time =  2793.21 ms\n",
            "Output generated in 3.64 seconds (7.97 tokens/s, 29 tokens, context 85, seed 3888233)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =     5.75 ms /    10 runs   (    0.58 ms per token,  1738.53 tokens per second)\n",
            "llama_print_timings: prompt eval time =   718.71 ms /    25 tokens (   28.75 ms per token,    34.78 tokens per second)\n",
            "llama_print_timings:        eval time =   546.99 ms /     9 runs   (   60.78 ms per token,    16.45 tokens per second)\n",
            "llama_print_timings:       total time =  1302.05 ms\n",
            "Output generated in 2.11 seconds (4.27 tokens/s, 9 tokens, context 55, seed 1514863419)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =    19.60 ms /    35 runs   (    0.56 ms per token,  1785.99 tokens per second)\n",
            "llama_print_timings: prompt eval time =  2015.29 ms /   184 tokens (   10.95 ms per token,    91.30 tokens per second)\n",
            "llama_print_timings:        eval time =  2048.37 ms /    34 runs   (   60.25 ms per token,    16.60 tokens per second)\n",
            "llama_print_timings:       total time =  4171.88 ms\n",
            "Output generated in 5.12 seconds (6.63 tokens/s, 34 tokens, context 214, seed 1774069420)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =   110.06 ms /   172 runs   (    0.64 ms per token,  1562.80 tokens per second)\n",
            "llama_print_timings: prompt eval time =  3146.01 ms /   263 tokens (   11.96 ms per token,    83.60 tokens per second)\n",
            "llama_print_timings:        eval time = 10942.59 ms /   171 runs   (   63.99 ms per token,    15.63 tokens per second)\n",
            "llama_print_timings:       total time = 14871.64 ms\n",
            "Output generated in 15.90 seconds (10.76 tokens/s, 171 tokens, context 342, seed 1587722199)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =    62.75 ms /    84 runs   (    0.75 ms per token,  1338.60 tokens per second)\n",
            "llama_print_timings: prompt eval time =   687.94 ms /    16 tokens (   43.00 ms per token,    23.26 tokens per second)\n",
            "llama_print_timings:        eval time =  4716.16 ms /    83 runs   (   56.82 ms per token,    17.60 tokens per second)\n",
            "llama_print_timings:       total time =  5938.67 ms\n",
            "Output generated in 6.97 seconds (11.91 tokens/s, 83 tokens, context 46, seed 473523104)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =     6.92 ms /    13 runs   (    0.53 ms per token,  1878.61 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1416.59 ms /    93 tokens (   15.23 ms per token,    65.65 tokens per second)\n",
            "llama_print_timings:        eval time =   696.46 ms /    12 runs   (   58.04 ms per token,    17.23 tokens per second)\n",
            "llama_print_timings:       total time =  2153.05 ms\n",
            "Output generated in 2.94 seconds (4.08 tokens/s, 12 tokens, context 123, seed 1763840835)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1205.44 ms\n",
            "llama_print_timings:      sample time =   114.17 ms /   153 runs   (    0.75 ms per token,  1340.12 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1964.39 ms /   175 tokens (   11.23 ms per token,    89.09 tokens per second)\n",
            "llama_print_timings:        eval time =  9084.32 ms /   152 runs   (   59.77 ms per token,    16.73 tokens per second)\n",
            "llama_print_timings:       total time = 12076.36 ms\n",
            "Output generated in 13.16 seconds (11.55 tokens/s, 152 tokens, context 205, seed 1607711547)\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==0.1.78 --no-cache-dir\n",
        "\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/Huginn-13B-GGML/resolve/main/huggin-13b.ggmlv3.q5_K_M.bin -d /content/text-generation-webui/models/ -o huggin-13b.ggmlv3.q5_K_M.bin\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --chat --n-gpu-layers 200000 --model huggin-13b.ggmlv3.q5_K_M.bin"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyPMzSSRrnHzgp2hqkRvAd7k",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}