WizardLM_13B_V1_1_GGML.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/WizardLM_13B_V1_1_GGML.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-V1.1-GGML 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",
        "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": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "fed8c2dc-57bd-436d-e323-9ec0fcfdddbf"
      },
      "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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            "  Stored in directory: /root/.cache/pip/wheels/46/64/4e/74ef44b95c143b120b87d45836a4949ddee2ab37eb5aaa4a83\n",
            "  Building wheel for peft (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for peft: filename=peft-0.4.0.dev0-py3-none-any.whl size=61146 sha256=aeabaa1c707a2d7a53f556e852faf374fc23a810e75dbcf1f8d0cf415a688303\n",
            "  Stored in directory: /root/.cache/pip/wheels/73/14/95/62d30d224b10f5601d4d015b8ff71bb9b8e23876f07086198c\n",
            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4694 sha256=a30bc478a3e0c08bb1976ad06fbfbe6b36a96de92fe8375bd07515670fc69bfd\n",
            "  Stored in directory: /root/.cache/pip/wheels/0c/c2/0e/3b9c6845c6a4e35beb90910cc70d9ac9ab5d47402bd62af0df\n",
            "Successfully built llama-cpp-python peft ffmpy\n",
            "Installing collected packages: tokenizers, sentencepiece, safetensors, pydub, pulp, ffmpy, bitsandbytes, xxhash, websockets, uc-micro-py, semantic-version, rouge, python-multipart, Pillow, orjson, markdown-it-py, h11, einops, diskcache, dill, colorama, aiofiles, uvicorn, starlette, multiprocess, mdit-py-plugins, llama-cpp-python, linkify-it-py, huggingface-hub, httpcore, transformers, httpx, fastapi, 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",
            "    Uninstalling markdown-it-py-3.0.0:\n",
            "      Successfully uninstalled markdown-it-py-3.0.0\n",
            "Successfully installed Pillow-10.0.0 accelerate-0.20.3 aiofiles-23.1.0 auto-gptq-0.2.2+cu117 bitsandbytes-0.39.1 colorama-0.4.6 datasets-2.13.1 dill-0.3.6 diskcache-5.6.1 einops-0.6.1 exllama-0.0.3+cu117 fastapi-0.100.0 ffmpy-0.3.0 flexgen-0.1.7 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-0.1.64 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 multiprocess-0.70.14 orjson-3.9.2 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 starlette-0.27.0 tokenizers-0.13.3 transformers-4.30.2 uc-micro-py-1.0.2 uvicorn-0.23.0 websockets-11.0.3 xxhash-3.2.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL"
                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting gradio==3.32.0\n",
            "  Downloading gradio-3.32.0-py3-none-any.whl (19.9 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.9/19.9 MB\u001b[0m \u001b[31m14.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "Installing collected packages: gradio\n",
            "  Attempting uninstall: gradio\n",
            "    Found existing installation: gradio 3.33.1\n",
            "    Uninstalling gradio-3.33.1:\n",
            "      Successfully uninstalled gradio-3.33.1\n",
            "Successfully installed gradio-3.32.0\n",
            "Found existing installation: llama-cpp-python 0.1.64\n",
            "Uninstalling llama-cpp-python-0.1.64:\n",
            "  Successfully uninstalled llama-cpp-python-0.1.64\n",
            "Collecting llama-cpp-python\n",
            "  Downloading llama_cpp_python-0.1.72.tar.gz (1.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m24.7 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",
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            "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-0.1.72-cp310-cp310-linux_x86_64.whl size=493216 sha256=59ff909fcfcb3370dc25f9f87cc613e6d51ded21ab5ff0bb75288054075742d8\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-a7lzuuxr/wheels/ed/50/66/f44b417fb8ed7860836157dd767c73d0890c337ead374562c4\n",
            "Successfully built llama-cpp-python\n",
            "Installing collected packages: llama-cpp-python\n",
            "Successfully installed llama-cpp-python-0.1.72\n",
            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "9db937|\u001b[1;32mOK\u001b[0m  |   175MiB/s|/content/text-generation-webui/models//wizardlm-13b-v1.1.ggmlv3.q5_K_M.bin\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "2023-07-17 06:27:12 WARNING:\u001b[33mThe gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.\u001b[0m\n",
            "2023-07-17 06:27:14.298309: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "bin /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cuda118.so\n",
            "2023-07-17 06:27:17 INFO:\u001b[32mLoading wizardlm-13b-v1.1.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",
            "2023-07-17 06:27:28 INFO:\u001b[32mllama.cpp weights detected: models/wizardlm-13b-v1.1.ggmlv3.q5_K_M.bin\n",
            "\u001b[0m\n",
            "2023-07-17 06:27:28 INFO:\u001b[32mCache capacity is 0 bytes\u001b[0m\n",
            "llama.cpp: loading model from models/wizardlm-13b-v1.1.ggmlv3.q5_K_M.bin\n",
            "llama_model_load_internal: format     = ggjt v3 (latest)\n",
            "llama_model_load_internal: n_vocab    = 32001\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  = 2136.12 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: 10821 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",
            "2023-07-17 06:28:48 INFO:\u001b[32mLoaded the model in 91.12 seconds.\n",
            "\u001b[0m\n",
            "2023-07-17 06:28:48 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://3a00af7713b022125c.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 =   871.20 ms\n",
            "llama_print_timings:      sample time =     0.52 ms /     1 runs   (    0.52 ms per token,  1912.05 tokens per second)\n",
            "llama_print_timings: prompt eval time =   871.08 ms /    30 tokens (   29.04 ms per token,    34.44 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 =   874.89 ms\n",
            "Output generated in 1.62 seconds (0.00 tokens/s, 0 tokens, context 30, seed 806969155)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =    12.67 ms /    21 runs   (    0.60 ms per token,  1656.94 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1063.30 ms /    62 tokens (   17.15 ms per token,    58.31 tokens per second)\n",
            "llama_print_timings:        eval time =  1611.67 ms /    20 runs   (   80.58 ms per token,    12.41 tokens per second)\n",
            "llama_print_timings:       total time =  2755.63 ms\n",
            "Output generated in 4.32 seconds (4.63 tokens/s, 20 tokens, context 63, seed 283466024)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =    51.76 ms /    67 runs   (    0.77 ms per token,  1294.39 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1502.51 ms /    78 tokens (   19.26 ms per token,    51.91 tokens per second)\n",
            "llama_print_timings:        eval time =  5251.46 ms /    66 runs   (   79.57 ms per token,    12.57 tokens per second)\n",
            "llama_print_timings:       total time =  7257.96 ms\n",
            "Output generated in 8.29 seconds (7.96 tokens/s, 66 tokens, context 113, seed 434952145)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =   488.59 ms /   700 runs   (    0.70 ms per token,  1432.69 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1068.00 ms /    57 tokens (   18.74 ms per token,    53.37 tokens per second)\n",
            "llama_print_timings:        eval time = 62765.30 ms /   699 runs   (   89.79 ms per token,    11.14 tokens per second)\n",
            "llama_print_timings:       total time = 69188.53 ms\n",
            "Output generated in 69.94 seconds (10.01 tokens/s, 700 tokens, context 92, seed 817821938)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =    74.80 ms /    97 runs   (    0.77 ms per token,  1296.79 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 =  8403.59 ms /    97 runs   (   86.63 ms per token,    11.54 tokens per second)\n",
            "llama_print_timings:       total time =  9373.65 ms\n",
            "Output generated in 10.16 seconds (9.45 tokens/s, 96 tokens, context 792, seed 447104107)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =   217.07 ms /   307 runs   (    0.71 ms per token,  1414.32 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1041.50 ms /    58 tokens (   17.96 ms per token,    55.69 tokens per second)\n",
            "llama_print_timings:        eval time = 27718.01 ms /   306 runs   (   90.58 ms per token,    11.04 tokens per second)\n",
            "llama_print_timings:       total time = 30658.96 ms\n",
            "Output generated in 31.44 seconds (9.73 tokens/s, 306 tokens, context 93, seed 2135008660)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =    20.78 ms /    20 runs   (    1.04 ms per token,   962.37 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1001.00 ms /    52 tokens (   19.25 ms per token,    51.95 tokens per second)\n",
            "llama_print_timings:        eval time =  1455.75 ms /    19 runs   (   76.62 ms per token,    13.05 tokens per second)\n",
            "llama_print_timings:       total time =  2698.91 ms\n",
            "Output generated in 3.70 seconds (5.14 tokens/s, 19 tokens, context 87, seed 387468976)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =     3.34 ms /     6 runs   (    0.56 ms per token,  1796.95 tokens per second)\n",
            "llama_print_timings: prompt eval time =   987.10 ms /    39 tokens (   25.31 ms per token,    39.51 tokens per second)\n",
            "llama_print_timings:        eval time =   439.28 ms /     5 runs   (   87.86 ms per token,    11.38 tokens per second)\n",
            "llama_print_timings:       total time =  1447.13 ms\n",
            "Output generated in 2.20 seconds (2.27 tokens/s, 5 tokens, context 74, seed 917982719)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =     2.17 ms /     4 runs   (    0.54 ms per token,  1844.17 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1006.32 ms /    46 tokens (   21.88 ms per token,    45.71 tokens per second)\n",
            "llama_print_timings:        eval time =   272.88 ms /     3 runs   (   90.96 ms per token,    10.99 tokens per second)\n",
            "llama_print_timings:       total time =  1292.76 ms\n",
            "Output generated in 2.04 seconds (1.47 tokens/s, 3 tokens, context 81, seed 101972798)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =     8.75 ms /     9 runs   (    0.97 ms per token,  1028.22 tokens per second)\n",
            "llama_print_timings: prompt eval time =   716.77 ms /    26 tokens (   27.57 ms per token,    36.27 tokens per second)\n",
            "llama_print_timings:        eval time =   620.41 ms /     8 runs   (   77.55 ms per token,    12.89 tokens per second)\n",
            "llama_print_timings:       total time =  1433.01 ms\n",
            "Output generated in 2.43 seconds (3.29 tokens/s, 8 tokens, context 61, seed 1388306192)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =     6.55 ms /    11 runs   (    0.60 ms per token,  1678.62 tokens per second)\n",
            "llama_print_timings: prompt eval time =   719.45 ms /    15 tokens (   47.96 ms per token,    20.85 tokens per second)\n",
            "llama_print_timings:        eval time =   849.91 ms /    10 runs   (   84.99 ms per token,    11.77 tokens per second)\n",
            "llama_print_timings:       total time =  1613.90 ms\n",
            "Output generated in 2.39 seconds (4.19 tokens/s, 10 tokens, context 50, seed 2065236725)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =     0.55 ms /     1 runs   (    0.55 ms per token,  1821.49 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 =    98.31 ms /     1 runs   (   98.31 ms per token,    10.17 tokens per second)\n",
            "llama_print_timings:       total time =   102.25 ms\n",
            "Output generated in 0.86 seconds (0.00 tokens/s, 0 tokens, context 60, seed 1111126715)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =     4.28 ms /     8 runs   (    0.54 ms per token,  1867.41 tokens per second)\n",
            "llama_print_timings: prompt eval time =   710.50 ms /    13 tokens (   54.65 ms per token,    18.30 tokens per second)\n",
            "llama_print_timings:        eval time =   622.26 ms /     7 runs   (   88.89 ms per token,    11.25 tokens per second)\n",
            "llama_print_timings:       total time =  1360.77 ms\n",
            "Output generated in 2.12 seconds (3.30 tokens/s, 7 tokens, context 73, seed 426774370)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =    32.10 ms /    49 runs   (    0.66 ms per token,  1526.48 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1052.33 ms /    52 tokens (   20.24 ms per token,    49.41 tokens per second)\n",
            "llama_print_timings:        eval time =  4288.26 ms /    48 runs   (   89.34 ms per token,    11.19 tokens per second)\n",
            "llama_print_timings:       total time =  5587.62 ms\n",
            "Output generated in 6.33 seconds (7.58 tokens/s, 48 tokens, context 87, seed 897013578)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =     6.11 ms /    11 runs   (    0.56 ms per token,  1801.51 tokens per second)\n",
            "llama_print_timings: prompt eval time =   725.85 ms /    22 tokens (   32.99 ms per token,    30.31 tokens per second)\n",
            "llama_print_timings:        eval time =   900.17 ms /    10 runs   (   90.02 ms per token,    11.11 tokens per second)\n",
            "llama_print_timings:       total time =  1664.48 ms\n",
            "Output generated in 2.41 seconds (4.16 tokens/s, 10 tokens, context 57, seed 234714753)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =     5.73 ms /     6 runs   (    0.95 ms per token,  1047.85 tokens per second)\n",
            "llama_print_timings: prompt eval time =  2313.14 ms /   182 tokens (   12.71 ms per token,    78.68 tokens per second)\n",
            "llama_print_timings:        eval time =   421.78 ms /     5 runs   (   84.36 ms per token,    11.85 tokens per second)\n",
            "llama_print_timings:       total time =  2780.68 ms\n",
            "Output generated in 3.76 seconds (1.33 tokens/s, 5 tokens, context 217, seed 2006194053)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =     3.29 ms /     6 runs   (    0.55 ms per token,  1823.71 tokens per second)\n",
            "llama_print_timings: prompt eval time =  3508.91 ms /   261 tokens (   13.44 ms per token,    74.38 tokens per second)\n",
            "llama_print_timings:        eval time =   463.62 ms /     5 runs   (   92.72 ms per token,    10.78 tokens per second)\n",
            "llama_print_timings:       total time =  3993.91 ms\n",
            "Output generated in 4.75 seconds (1.05 tokens/s, 5 tokens, context 345, seed 394076237)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =    68.86 ms /    78 runs   (    0.88 ms per token,  1132.80 tokens per second)\n",
            "llama_print_timings: prompt eval time =   707.46 ms /    14 tokens (   50.53 ms per token,    19.79 tokens per second)\n",
            "llama_print_timings:        eval time =  6605.85 ms /    77 runs   (   85.79 ms per token,    11.66 tokens per second)\n",
            "llama_print_timings:       total time =  7993.35 ms\n",
            "Output generated in 8.81 seconds (8.74 tokens/s, 77 tokens, context 49, seed 1215126022)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =    20.54 ms /    37 runs   (    0.56 ms per token,  1801.80 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1591.37 ms /    91 tokens (   17.49 ms per token,    57.18 tokens per second)\n",
            "llama_print_timings:        eval time =  3183.56 ms /    36 runs   (   88.43 ms per token,    11.31 tokens per second)\n",
            "llama_print_timings:       total time =  4914.05 ms\n",
            "Output generated in 5.83 seconds (6.18 tokens/s, 36 tokens, context 126, seed 1379690390)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   871.20 ms\n",
            "llama_print_timings:      sample time =   230.88 ms /   319 runs   (    0.72 ms per token,  1381.69 tokens per second)\n",
            "llama_print_timings: prompt eval time =  2266.22 ms /   172 tokens (   13.18 ms per token,    75.90 tokens per second)\n",
            "llama_print_timings:        eval time = 29662.12 ms /   318 runs   (   93.28 ms per token,    10.72 tokens per second)\n",
            "llama_print_timings:       total time = 34123.07 ms\n",
            "Output generated in 34.87 seconds (9.12 tokens/s, 318 tokens, context 207, seed 561686145)\n",
            "\u001b[31m╭─\u001b[0m\u001b[31m────────────────────\u001b[0m\u001b[31m \u001b[0m\u001b[1;31mTraceback \u001b[0m\u001b[1;2;31m(most recent call last)\u001b[0m\u001b[31m \u001b[0m\u001b[31m─────────────────────\u001b[0m\u001b[31m─╮\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[2;33m/content/text-generation-webui/\u001b[0m\u001b[1;33mserver.py\u001b[0m:\u001b[94m1037\u001b[0m in \u001b[92m<module>\u001b[0m                    \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m                                                                              \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1034 \u001b[0m\u001b[2m│   \u001b[0m\u001b[2m# Launch the web UI\u001b[0m                                               \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1035 \u001b[0m\u001b[2m│   \u001b[0mcreate_interface()                                                \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1036 \u001b[0m\u001b[2m│   \u001b[0m\u001b[94mwhile\u001b[0m \u001b[94mTrue\u001b[0m:                                                       \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m1037 \u001b[2m│   │   \u001b[0mtime.sleep(\u001b[94m0.5\u001b[0m)                                               \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1038 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[94mif\u001b[0m shared.need_restart:                                       \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1039 \u001b[0m\u001b[2m│   │   │   \u001b[0mshared.need_restart = \u001b[94mFalse\u001b[0m                               \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1040 \u001b[0m\u001b[2m│   │   │   \u001b[0mtime.sleep(\u001b[94m0.5\u001b[0m)                                           \u001b[31m│\u001b[0m\n",
            "\u001b[31m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n",
            "\u001b[1;91mKeyboardInterrupt\u001b[0m\n",
            "Killing tunnel 127.0.0.1:7860 <> https://3a00af7713b022125c.gradio.live\n",
            "Exception ignored in: <function LlamaCppModel.__del__ at 0x7ef460bfb400>\n",
            "Traceback (most recent call last):\n",
            "  File \"/content/text-generation-webui/modules/llamacpp_model.py\", line 29, in __del__\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/llama_cpp/llama.py\", line 1500, in __del__\n",
            "TypeError: 'NoneType' object is not callable\n",
            "Exception ignored in: <function Llama.__del__ at 0x7ef460097eb0>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/llama_cpp/llama.py\", line 1500, in __del__\n",
            "TypeError: 'NoneType' object is not callable\n",
            "^C\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "!apt-get -y install -qq aria2\n",
        "\n",
        "!git clone -b V20230626 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-V1.1-GGML/resolve/main/wizardlm-13b-v1.1.ggmlv3.q5_K_M.bin -d /content/text-generation-webui/models/ -o wizardlm-13b-v1.1.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-v1.1.ggmlv3.q5_K_M.bin"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNcbyVIa2DM3zN56LZm3Bqd",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}