WizardLM_13B_V1_2.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/WizardLM_13B_V1_2.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": [
        "## WizardLM-13B-V1.2 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: Vicuna V1.1\n",
        "\n",
        "```\n",
        "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.\n",
        "\n",
        "USER: {prompt}\n",
        "ASSISTANT:\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "b8d1a8d5-cc98-4cdc-b423-f5bdf9ef51f6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "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",
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            "Building wheels for collected packages: llama-cpp-python, peft, ffmpy, pathtools\n",
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            "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",
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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",
            "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-2.14.0 dill-0.3.7 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-0.70.15 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-0.15.7 websockets-11.0.3 xxhash-3.2.0\n"
          ]
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          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
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          "metadata": {}
        },
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          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Collecting llama-cpp-python\n",
            "  Downloading llama_cpp_python-0.1.77.tar.gz (1.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m14.3 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=1368647 sha256=f0d73cd5920fc31810dbd0eb074bd07cd365c0b472e6cdd98b884478b9d1eced\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-5772piy3/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",
            "3a5de6|\u001b[1;32mOK\u001b[0m  |   173MiB/s|/content/text-generation-webui/models//wizardlm-13b-v1.2.ggmlv3.q5_K_M.bin\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "2023-07-26 06:23:56 WARNING:\u001b[33mThe gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.\u001b[0m\n",
            "2023-07-26 06:24:03.177828: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "2023-07-26 06:24:05 INFO:\u001b[32mLoading wizardlm-13b-v1.2.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",
            "2023-07-26 06:24:17 INFO:\u001b[32mllama.cpp weights detected: models/wizardlm-13b-v1.2.ggmlv3.q5_K_M.bin\n",
            "\u001b[0m\n",
            "2023-07-26 06:24:17 INFO:\u001b[32mCache capacity is 0 bytes\u001b[0m\n",
            "llama.cpp: loading model from models/wizardlm-13b-v1.2.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",
            "2023-07-26 06:25:42 INFO:\u001b[32mLoaded the model in 96.83 seconds.\n",
            "\u001b[0m\n",
            "2023-07-26 06:25:42 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://9b8a58435b95d24dd7.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 =  1218.69 ms\n",
            "llama_print_timings:      sample time =    28.37 ms /    20 runs   (    1.42 ms per token,   705.07 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1218.53 ms /    63 tokens (   19.34 ms per token,    51.70 tokens per second)\n",
            "llama_print_timings:        eval time =  1101.14 ms /    19 runs   (   57.95 ms per token,    17.25 tokens per second)\n",
            "llama_print_timings:       total time =  2473.22 ms\n",
            "Output generated in 3.26 seconds (5.83 tokens/s, 19 tokens, context 63, seed 187670916)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =   103.92 ms /    93 runs   (    1.12 ms per token,   894.93 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1462.35 ms /    78 tokens (   18.75 ms per token,    53.34 tokens per second)\n",
            "llama_print_timings:        eval time =  5844.18 ms /    92 runs   (   63.52 ms per token,    15.74 tokens per second)\n",
            "llama_print_timings:       total time =  7768.80 ms\n",
            "Output generated in 8.55 seconds (10.75 tokens/s, 92 tokens, context 113, seed 1171262338)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =   911.31 ms /   665 runs   (    1.37 ms per token,   729.72 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1058.95 ms /    57 tokens (   18.58 ms per token,    53.83 tokens per second)\n",
            "llama_print_timings:        eval time = 45472.72 ms /   664 runs   (   68.48 ms per token,    14.60 tokens per second)\n",
            "llama_print_timings:       total time = 51990.16 ms\n",
            "Output generated in 53.00 seconds (12.53 tokens/s, 664 tokens, context 92, seed 1961041727)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =   468.50 ms /   354 runs   (    1.32 ms per token,   755.60 tokens per second)\n",
            "llama_print_timings: prompt eval time =   995.06 ms /    58 tokens (   17.16 ms per token,    58.29 tokens per second)\n",
            "llama_print_timings:        eval time = 23056.76 ms /   353 runs   (   65.32 ms per token,    15.31 tokens per second)\n",
            "llama_print_timings:       total time = 26697.15 ms\n",
            "Output generated in 27.46 seconds (12.85 tokens/s, 353 tokens, context 93, seed 754488087)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =    33.98 ms /    19 runs   (    1.79 ms per token,   559.12 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1020.70 ms /    52 tokens (   19.63 ms per token,    50.95 tokens per second)\n",
            "llama_print_timings:        eval time =  1080.54 ms /    18 runs   (   60.03 ms per token,    16.66 tokens per second)\n",
            "llama_print_timings:       total time =  2319.24 ms\n",
            "Output generated in 3.36 seconds (5.35 tokens/s, 18 tokens, context 87, seed 1809046209)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =     7.55 ms /     7 runs   (    1.08 ms per token,   927.64 tokens per second)\n",
            "llama_print_timings: prompt eval time =   987.84 ms /    39 tokens (   25.33 ms per token,    39.48 tokens per second)\n",
            "llama_print_timings:        eval time =   427.24 ms /     6 runs   (   71.21 ms per token,    14.04 tokens per second)\n",
            "llama_print_timings:       total time =  1443.82 ms\n",
            "Output generated in 2.32 seconds (2.59 tokens/s, 6 tokens, context 74, seed 1690455540)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =     6.65 ms /     4 runs   (    1.66 ms per token,   601.78 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1005.58 ms /    46 tokens (   21.86 ms per token,    45.74 tokens per second)\n",
            "llama_print_timings:        eval time =   203.55 ms /     3 runs   (   67.85 ms per token,    14.74 tokens per second)\n",
            "llama_print_timings:       total time =  1251.01 ms\n",
            "Output generated in 2.28 seconds (1.32 tokens/s, 3 tokens, context 81, seed 536927181)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =     1.92 ms /     2 runs   (    0.96 ms per token,  1041.67 tokens per second)\n",
            "llama_print_timings: prompt eval time =   726.80 ms /    26 tokens (   27.95 ms per token,    35.77 tokens per second)\n",
            "llama_print_timings:        eval time =    56.48 ms /     1 runs   (   56.48 ms per token,    17.71 tokens per second)\n",
            "llama_print_timings:       total time =   791.13 ms\n",
            "Output generated in 1.74 seconds (0.57 tokens/s, 1 tokens, context 61, seed 170983512)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =    43.69 ms /    24 runs   (    1.82 ms per token,   549.29 tokens per second)\n",
            "llama_print_timings: prompt eval time =   721.46 ms /    15 tokens (   48.10 ms per token,    20.79 tokens per second)\n",
            "llama_print_timings:        eval time =  1350.56 ms /    23 runs   (   58.72 ms per token,    17.03 tokens per second)\n",
            "llama_print_timings:       total time =  2335.73 ms\n",
            "Output generated in 3.13 seconds (7.36 tokens/s, 23 tokens, context 50, seed 2123227579)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =   158.02 ms /   110 runs   (    1.44 ms per token,   696.13 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1004.97 ms /    52 tokens (   19.33 ms per token,    51.74 tokens per second)\n",
            "llama_print_timings:        eval time =  7019.30 ms /   109 runs   (   64.40 ms per token,    15.53 tokens per second)\n",
            "llama_print_timings:       total time =  8899.39 ms\n",
            "Output generated in 9.96 seconds (10.95 tokens/s, 109 tokens, context 87, seed 200351896)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =    19.36 ms /    10 runs   (    1.94 ms per token,   516.66 tokens per second)\n",
            "llama_print_timings: prompt eval time =   705.64 ms /    22 tokens (   32.07 ms per token,    31.18 tokens per second)\n",
            "llama_print_timings:        eval time =   499.38 ms /     9 runs   (   55.49 ms per token,    18.02 tokens per second)\n",
            "llama_print_timings:       total time =  1330.27 ms\n",
            "Output generated in 2.29 seconds (3.93 tokens/s, 9 tokens, context 57, seed 485984311)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =    12.24 ms /     6 runs   (    2.04 ms per token,   490.16 tokens per second)\n",
            "llama_print_timings: prompt eval time =  2228.64 ms /   182 tokens (   12.25 ms per token,    81.66 tokens per second)\n",
            "llama_print_timings:        eval time =   296.71 ms /     5 runs   (   59.34 ms per token,    16.85 tokens per second)\n",
            "llama_print_timings:       total time =  2600.20 ms\n",
            "Output generated in 3.60 seconds (1.39 tokens/s, 5 tokens, context 217, seed 1320398295)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =     6.19 ms /     6 runs   (    1.03 ms per token,   969.62 tokens per second)\n",
            "llama_print_timings: prompt eval time =  3436.81 ms /   261 tokens (   13.17 ms per token,    75.94 tokens per second)\n",
            "llama_print_timings:        eval time =   339.44 ms /     5 runs   (   67.89 ms per token,    14.73 tokens per second)\n",
            "llama_print_timings:       total time =  3799.75 ms\n",
            "Output generated in 4.58 seconds (1.09 tokens/s, 5 tokens, context 345, seed 345472092)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =    10.32 ms /     6 runs   (    1.72 ms per token,   581.45 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 =   419.57 ms /     6 runs   (   69.93 ms per token,    14.30 tokens per second)\n",
            "llama_print_timings:       total time =   499.08 ms\n",
            "Output generated in 1.53 seconds (3.26 tokens/s, 5 tokens, context 345, seed 1659070281)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =   136.84 ms /    96 runs   (    1.43 ms per token,   701.54 tokens per second)\n",
            "llama_print_timings: prompt eval time =   697.33 ms /    14 tokens (   49.81 ms per token,    20.08 tokens per second)\n",
            "llama_print_timings:        eval time =  6189.50 ms /    95 runs   (   65.15 ms per token,    15.35 tokens per second)\n",
            "llama_print_timings:       total time =  7640.56 ms\n",
            "Output generated in 8.69 seconds (10.94 tokens/s, 95 tokens, context 49, seed 214296941)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =    44.08 ms /    38 runs   (    1.16 ms per token,   862.01 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1552.61 ms /    91 tokens (   17.06 ms per token,    58.61 tokens per second)\n",
            "llama_print_timings:        eval time =  2647.82 ms /    37 runs   (   71.56 ms per token,    13.97 tokens per second)\n",
            "llama_print_timings:       total time =  4369.48 ms\n",
            "Output generated in 5.13 seconds (7.21 tokens/s, 37 tokens, context 126, seed 931984173)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1218.69 ms\n",
            "llama_print_timings:      sample time =   373.06 ms /   257 runs   (    1.45 ms per token,   688.89 tokens per second)\n",
            "llama_print_timings: prompt eval time =  2139.89 ms /   172 tokens (   12.44 ms per token,    80.38 tokens per second)\n",
            "llama_print_timings:        eval time = 17604.05 ms /   256 runs   (   68.77 ms per token,    14.54 tokens per second)\n",
            "llama_print_timings:       total time = 21887.48 ms\n",
            "Output generated in 22.78 seconds (11.24 tokens/s, 256 tokens, context 207, seed 172057405)\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/WizardLM-13B-V1.2-GGML/resolve/main/wizardlm-13b-v1.2.ggmlv3.q5_K_M.bin -d /content/text-generation-webui/models/ -o wizardlm-13b-v1.2.ggmlv3.q5_K_M.bin\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --chat --n-gpu-layers 200000 --model wizardlm-13b-v1.2.ggmlv3.q5_K_M.bin"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNEyOydbKo78gXXL5AcL3Nm",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}