llama_2_13B_Guanaco_QLoRA.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/llama_2_13B_Guanaco_QLoRA.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": [
        "## llama-2-13B-Guanaco-QLoRA 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: Guanaco\n",
        "\n",
        "```\n",
        "### Human: {prompt}\n",
        "### Assistant:\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "c25bf67f-378b-4adb-b1ad-49f99a19750b"
      },
      "outputs": [
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
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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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            "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",
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            "  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"
          ]
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        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
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          "metadata": {},
          "output_type": "display_data"
        },
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          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "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[31m25.2 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=1330195 sha256=435d066f6d1c2f55414cbd180f8d88e182c5e6d3788d91544aff685f18fa72da\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-nh4wzytm/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",
            "d0d1da|\u001b[1;32mOK\u001b[0m  |   183MiB/s|/content/text-generation-webui/models//llama-2-13b-guanaco-qlora.ggmlv3.q5_K_M.bin\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "2023-07-21 08:31:16 WARNING:\u001b[33mThe gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.\u001b[0m\n",
            "2023-07-21 08:31:23.743019: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "2023-07-21 08:31:25 INFO:\u001b[32mLoading llama-2-13b-guanaco-qlora.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",
            "2023-07-21 08:31:37 INFO:\u001b[32mllama.cpp weights detected: models/llama-2-13b-guanaco-qlora.ggmlv3.q5_K_M.bin\n",
            "\u001b[0m\n",
            "2023-07-21 08:31:37 INFO:\u001b[32mCache capacity is 0 bytes\u001b[0m\n",
            "llama.cpp: loading model from models/llama-2-13b-guanaco-qlora.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",
            "2023-07-21 08:32:46 INFO:\u001b[32mLoaded the model in 80.04 seconds.\n",
            "\u001b[0m\n",
            "2023-07-21 08:32:46 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://5375b357cb5ddbb621.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 =  1126.47 ms\n",
            "llama_print_timings:      sample time =    60.68 ms /    45 runs   (    1.35 ms per token,   741.60 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1126.33 ms /    33 tokens (   34.13 ms per token,    29.30 tokens per second)\n",
            "llama_print_timings:        eval time =  3167.92 ms /    44 runs   (   72.00 ms per token,    13.89 tokens per second)\n",
            "llama_print_timings:       total time =  4657.96 ms\n",
            "Output generated in 5.41 seconds (8.14 tokens/s, 44 tokens, context 34, seed 495269819)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =   408.19 ms /   319 runs   (    1.28 ms per token,   781.51 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1388.18 ms /    79 tokens (   17.57 ms per token,    56.91 tokens per second)\n",
            "llama_print_timings:        eval time = 24435.54 ms /   318 runs   (   76.84 ms per token,    13.01 tokens per second)\n",
            "llama_print_timings:       total time = 28261.87 ms\n",
            "Output generated in 29.06 seconds (10.94 tokens/s, 318 tokens, context 84, seed 1449613327)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =   748.71 ms /   577 runs   (    1.30 ms per token,   770.66 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1012.37 ms /    58 tokens (   17.45 ms per token,    57.29 tokens per second)\n",
            "llama_print_timings:        eval time = 44810.70 ms /   576 runs   (   77.80 ms per token,    12.85 tokens per second)\n",
            "llama_print_timings:       total time = 50812.96 ms\n",
            "Output generated in 51.58 seconds (11.17 tokens/s, 576 tokens, context 63, seed 1626968691)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =   683.18 ms /   523 runs   (    1.31 ms per token,   765.54 tokens per second)\n",
            "llama_print_timings: prompt eval time =   997.09 ms /    59 tokens (   16.90 ms per token,    59.17 tokens per second)\n",
            "llama_print_timings:        eval time = 40546.79 ms /   522 runs   (   77.68 ms per token,    12.87 tokens per second)\n",
            "llama_print_timings:       total time = 45472.77 ms\n",
            "Output generated in 46.24 seconds (11.29 tokens/s, 522 tokens, context 64, seed 571198432)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =    18.93 ms /    19 runs   (    1.00 ms per token,  1003.59 tokens per second)\n",
            "llama_print_timings: prompt eval time =   982.99 ms /    53 tokens (   18.55 ms per token,    53.92 tokens per second)\n",
            "llama_print_timings:        eval time =  1334.45 ms /    18 runs   (   74.14 ms per token,    13.49 tokens per second)\n",
            "llama_print_timings:       total time =  2388.52 ms\n",
            "Output generated in 3.35 seconds (5.38 tokens/s, 18 tokens, context 58, seed 1798270858)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =   292.69 ms /   213 runs   (    1.37 ms per token,   727.73 tokens per second)\n",
            "llama_print_timings: prompt eval time =   960.04 ms /    40 tokens (   24.00 ms per token,    41.66 tokens per second)\n",
            "llama_print_timings:        eval time = 16098.00 ms /   212 runs   (   75.93 ms per token,    13.17 tokens per second)\n",
            "llama_print_timings:       total time = 18639.81 ms\n",
            "Output generated in 19.61 seconds (10.81 tokens/s, 212 tokens, context 45, seed 859477802)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =   250.03 ms /   197 runs   (    1.27 ms per token,   787.90 tokens per second)\n",
            "llama_print_timings: prompt eval time =   970.48 ms /    47 tokens (   20.65 ms per token,    48.43 tokens per second)\n",
            "llama_print_timings:        eval time = 15144.51 ms /   196 runs   (   77.27 ms per token,    12.94 tokens per second)\n",
            "llama_print_timings:       total time = 17465.92 ms\n",
            "Output generated in 18.22 seconds (10.76 tokens/s, 196 tokens, context 52, seed 328482979)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =     9.85 ms /    10 runs   (    0.99 ms per token,  1015.13 tokens per second)\n",
            "llama_print_timings: prompt eval time =   711.62 ms /    27 tokens (   26.36 ms per token,    37.94 tokens per second)\n",
            "llama_print_timings:        eval time =   670.26 ms /     9 runs   (   74.47 ms per token,    13.43 tokens per second)\n",
            "llama_print_timings:       total time =  1418.25 ms\n",
            "Output generated in 2.21 seconds (4.08 tokens/s, 9 tokens, context 32, seed 1474908975)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =    63.61 ms /    34 runs   (    1.87 ms per token,   534.53 tokens per second)\n",
            "llama_print_timings: prompt eval time =   711.77 ms /    16 tokens (   44.49 ms per token,    22.48 tokens per second)\n",
            "llama_print_timings:        eval time =  2379.49 ms /    33 runs   (   72.11 ms per token,    13.87 tokens per second)\n",
            "llama_print_timings:       total time =  3431.86 ms\n",
            "Output generated in 4.23 seconds (7.80 tokens/s, 33 tokens, context 21, seed 1031666445)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =   100.71 ms /    98 runs   (    1.03 ms per token,   973.13 tokens per second)\n",
            "llama_print_timings: prompt eval time =   988.14 ms /    53 tokens (   18.64 ms per token,    53.64 tokens per second)\n",
            "llama_print_timings:        eval time =  7480.67 ms /    97 runs   (   77.12 ms per token,    12.97 tokens per second)\n",
            "llama_print_timings:       total time =  8874.95 ms\n",
            "Output generated in 9.64 seconds (10.06 tokens/s, 97 tokens, context 58, seed 172007808)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =     9.98 ms /    10 runs   (    1.00 ms per token,  1001.90 tokens per second)\n",
            "llama_print_timings: prompt eval time =   712.75 ms /    23 tokens (   30.99 ms per token,    32.27 tokens per second)\n",
            "llama_print_timings:        eval time =   684.15 ms /     9 runs   (   76.02 ms per token,    13.15 tokens per second)\n",
            "llama_print_timings:       total time =  1436.39 ms\n",
            "Output generated in 2.22 seconds (4.05 tokens/s, 9 tokens, context 28, seed 1052060142)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =    55.80 ms /    34 runs   (    1.64 ms per token,   609.37 tokens per second)\n",
            "llama_print_timings: prompt eval time =  2058.77 ms /   183 tokens (   11.25 ms per token,    88.89 tokens per second)\n",
            "llama_print_timings:        eval time =  2477.14 ms /    33 runs   (   75.06 ms per token,    13.32 tokens per second)\n",
            "llama_print_timings:       total time =  4903.75 ms\n",
            "Output generated in 5.92 seconds (5.58 tokens/s, 33 tokens, context 188, seed 1294450732)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =   104.22 ms /    82 runs   (    1.27 ms per token,   786.83 tokens per second)\n",
            "llama_print_timings: prompt eval time =  3077.55 ms /   262 tokens (   11.75 ms per token,    85.13 tokens per second)\n",
            "llama_print_timings:        eval time =  6365.40 ms /    81 runs   (   78.59 ms per token,    12.73 tokens per second)\n",
            "llama_print_timings:       total time =  9916.48 ms\n",
            "Output generated in 10.88 seconds (7.44 tokens/s, 81 tokens, context 316, seed 984194116)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =    55.02 ms /    54 runs   (    1.02 ms per token,   981.41 tokens per second)\n",
            "llama_print_timings: prompt eval time =   690.23 ms /    15 tokens (   46.02 ms per token,    21.73 tokens per second)\n",
            "llama_print_timings:        eval time =  3986.67 ms /    53 runs   (   75.22 ms per token,    13.29 tokens per second)\n",
            "llama_print_timings:       total time =  4890.90 ms\n",
            "Output generated in 5.67 seconds (9.36 tokens/s, 53 tokens, context 20, seed 1988916352)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =    61.23 ms /    54 runs   (    1.13 ms per token,   881.88 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 =  4206.81 ms /    54 runs   (   77.90 ms per token,    12.84 tokens per second)\n",
            "llama_print_timings:       total time =  4455.02 ms\n",
            "Output generated in 5.44 seconds (9.74 tokens/s, 53 tokens, context 20, seed 1111371822)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =    45.11 ms /    34 runs   (    1.33 ms per token,   753.80 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1452.30 ms /   100 tokens (   14.52 ms per token,    68.86 tokens per second)\n",
            "llama_print_timings:        eval time =  2482.70 ms /    33 runs   (   75.23 ms per token,    13.29 tokens per second)\n",
            "llama_print_timings:       total time =  4251.54 ms\n",
            "Output generated in 5.02 seconds (6.58 tokens/s, 33 tokens, context 172, seed 466072849)\n",
            "2023-07-21 09:03:35 ERROR:\u001b[31mTask exception was never retrieved\n",
            "future: <Task finished name='fyrnrbcwsg_55' coro=<Queue.process_events() done, defined at /usr/local/lib/python3.10/dist-packages/gradio/queueing.py:343> exception=WebSocketDisconnect(1006)>\u001b[0m\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/queueing.py\", line 347, in process_events\n",
            "    client_awake = await self.gather_event_data(event)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/queueing.py\", line 220, in gather_event_data\n",
            "    data, client_awake = await self.get_message(event, timeout=receive_timeout)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/queueing.py\", line 453, in get_message\n",
            "    data = await asyncio.wait_for(\n",
            "  File \"/usr/lib/python3.10/asyncio/tasks.py\", line 445, in wait_for\n",
            "    return fut.result()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 133, in receive_json\n",
            "    self._raise_on_disconnect(message)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 105, in _raise_on_disconnect\n",
            "    raise WebSocketDisconnect(message[\"code\"])\n",
            "starlette.websockets.WebSocketDisconnect: 1006\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1126.47 ms\n",
            "llama_print_timings:      sample time =   172.96 ms /   122 runs   (    1.42 ms per token,   705.35 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1984.04 ms /   173 tokens (   11.47 ms per token,    87.20 tokens per second)\n",
            "llama_print_timings:        eval time =  9440.02 ms /   121 runs   (   78.02 ms per token,    12.82 tokens per second)\n",
            "llama_print_timings:       total time = 12332.86 ms\n",
            "Output generated in 13.10 seconds (9.23 tokens/s, 121 tokens, context 178, seed 2092821402)\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 --no-cache-dir\n",
        "\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/llama-2-13B-Guanaco-QLoRA-GGML/resolve/main/llama-2-13b-guanaco-qlora.ggmlv3.q5_K_M.bin -d /content/text-generation-webui/models/ -o llama-2-13b-guanaco-qlora.ggmlv3.q5_K_M.bin\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --chat --n-gpu-layers 200000 --model llama-2-13b-guanaco-qlora.ggmlv3.q5_K_M.bin"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyOjN2ImRnh61FXrDlQLO0sk",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}