Mythical_Destroyer_V2_L2_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/Mythical_Destroyer_V2_L2_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": [
        "## Mythical-Destroyer-V2-L2-13B 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": "fabaa3f4-5c20-4305-c5c2-1787978908c8"
      },
      "outputs": [
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content\n",
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            "\n",
            "Cloning into 'text-generation-webui'...\n",
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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",
            "Turn off this advice by setting config variable advice.detachedHead to false\n",
            "\n",
            "/content/text-generation-webui\n",
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            "Collecting smmap<6,>=3.0.1 (from gitdb<5,>=4.0.1->GitPython!=3.1.29,>=1.0.0->wandb->-r requirements.txt (line 23))\n",
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            "Building wheels for collected packages: llama-cpp-python, ffmpy, pathtools\n",
            "  Building wheel for llama-cpp-python (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for llama-cpp-python: filename=llama_cpp_python-0.1.81-cp310-cp310-linux_x86_64.whl size=409160 sha256=ae64ed0708e8569b06815b093dc0b585fc7877350ae99ebadf0d95ab5bb5a585\n",
            "  Stored in directory: /root/.cache/pip/wheels/99/27/c0/ccda486d8dc16ebb8c61d9d7959380eced2cb3279cf0145dfe\n",
            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=2af8a03129bb19dcb6a88320f19da25ff353808f95d8dbfdbc1602dc136a7d69\n",
            "  Stored in directory: /root/.cache/pip/wheels/01/a6/d1/1c0828c304a4283b2c1639a09ad86f83d7c487ef34c6b4a1bf\n",
            "  Building wheel for pathtools (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pathtools: filename=pathtools-0.1.2-py3-none-any.whl size=8791 sha256=9c4795973efbe250ba19f862c3f05437b368f33af58084ccdb8fd808bd5ac29f\n",
            "  Stored in directory: /root/.cache/pip/wheels/e7/f3/22/152153d6eb222ee7a56ff8617d80ee5207207a8c00a7aab794\n",
            "Successfully built llama-cpp-python ffmpy pathtools\n",
            "Installing collected packages: tokenizers, sentencepiece, safetensors, pydub, pathtools, gptq-for-llama, ffmpy, bitsandbytes, xxhash, websockets, smmap, setproctitle, sentry-sdk, semantic-version, rouge, python-multipart, pydantic, Pillow, orjson, numpy, markdown-it-py, h11, einops, docker-pycreds, diskcache, dill, colorama, aiofiles, uvicorn, starlette, multiprocess, mdit-py-plugins, llama-cpp-python-ggml-cuda, llama-cpp-python-ggml, llama-cpp-python-cuda, llama-cpp-python, huggingface-hub, httpcore, gitdb, transformers, httpx, GitPython, fastapi, ctransformers, wandb, gradio_client, datasets, gradio, accelerate, peft, exllama, auto-gptq\n",
            "  Attempting uninstall: pydantic\n",
            "    Found existing installation: pydantic 2.2.1\n",
            "    Uninstalling pydantic-2.2.1:\n",
            "      Successfully uninstalled pydantic-2.2.1\n",
            "  Attempting uninstall: Pillow\n",
            "    Found existing installation: Pillow 9.4.0\n",
            "    Uninstalling Pillow-9.4.0:\n",
            "      Successfully uninstalled Pillow-9.4.0\n",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.23.5\n",
            "    Uninstalling numpy-1.23.5:\n",
            "      Successfully uninstalled numpy-1.23.5\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",
            "  Attempting uninstall: mdit-py-plugins\n",
            "    Found existing installation: mdit-py-plugins 0.4.0\n",
            "    Uninstalling mdit-py-plugins-0.4.0:\n",
            "      Successfully uninstalled mdit-py-plugins-0.4.0\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "numba 0.56.4 requires numpy<1.24,>=1.18, but you have numpy 1.24.0 which is incompatible.\n",
            "seaborn 0.12.2 requires numpy!=1.24.0,>=1.17, but you have numpy 1.24.0 which is incompatible.\n",
            "tensorflow 2.12.0 requires numpy<1.24,>=1.22, but you have numpy 1.24.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed GitPython-3.1.32 Pillow-10.0.0 accelerate-0.21.0 aiofiles-23.1.0 auto-gptq-0.4.2+cu117 bitsandbytes-0.41.1 colorama-0.4.6 ctransformers-0.2.24+cu117 datasets-2.14.4 dill-0.3.7 diskcache-5.6.3 docker-pycreds-0.4.0 einops-0.6.1 exllama-0.0.10+cu117 fastapi-0.95.2 ffmpy-0.3.1 gitdb-4.0.10 gptq-for-llama-0.1.0+cu117 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-0.1.81 llama-cpp-python-cuda-0.1.81+cu117 llama-cpp-python-ggml-0.1.78+cpuavx2 llama-cpp-python-ggml-cuda-0.1.78+cu117 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 multiprocess-0.70.15 numpy-1.24.0 orjson-3.9.5 pathtools-0.1.2 peft-0.5.0 pydantic-1.10.12 pydub-0.25.1 python-multipart-0.0.6 rouge-1.0.1 safetensors-0.3.2 semantic-version-2.10.0 sentencepiece-0.1.99 sentry-sdk-1.30.0 setproctitle-1.3.2 smmap-5.0.0 starlette-0.27.0 tokenizers-0.13.3 transformers-4.32.1 uvicorn-0.23.2 wandb-0.15.9 websockets-11.0.3 xxhash-3.3.0\n"
          ]
        },
        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL",
                  "numpy"
                ]
              }
            }
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Requirement already satisfied: uc-micro-py in /usr/local/lib/python3.10/dist-packages (from linkify-it-py<3,>=1->markdown-it-py[linkify]>=2.0.0->gradio==3.33.1) (1.0.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->gradio==3.33.1) (1.16.0)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<5.0,>=3.0->httpcore<0.18.0,>=0.15.0->httpx->gradio==3.33.1) (1.1.3)\n",
            "Found existing installation: llama-cpp-python 0.1.81\n",
            "Uninstalling llama-cpp-python-0.1.81:\n",
            "  Successfully uninstalled llama-cpp-python-0.1.81\n",
            "Collecting llama-cpp-python\n",
            "  Downloading llama_cpp_python-0.1.83.tar.gz (1.8 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 MB\u001b[0m \u001b[31m11.0 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) (1.24.0)\n",
            "Requirement already satisfied: diskcache>=5.6.1 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python) (5.6.3)\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-0.1.83-cp310-cp310-linux_x86_64.whl size=6162998 sha256=3e986e2990ee4fe2b3e9a7842c90e19d5b151d96a9455af3e260f427bb8ac26d\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-03hh2typ/wheels/3f/39/6f/3e75230ce84bb465df194bca6c0c7b936dc4b0b3c83389688d\n",
            "Successfully built llama-cpp-python\n",
            "Installing collected packages: llama-cpp-python\n",
            "Successfully installed llama-cpp-python-0.1.83\n",
            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "9502e9|\u001b[1;32mOK\u001b[0m  |   203MiB/s|/content/text-generation-webui/models//mythical-destroyer-v2-l2-13b.Q5_K_M.gguf\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "2023-08-31 06:40:18 WARNING:\u001b[33mThe gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.\u001b[0m\n",
            "2023-08-31 06:40:27.712903: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "2023-08-31 06:40:29 INFO:\u001b[32mLoading mythical-destroyer-v2-l2-13b.Q5_K_M.gguf...\u001b[0m\n",
            "ggml_init_cublas: found 1 CUDA devices:\n",
            "  Device 0: Tesla T4, compute capability 7.5\n",
            "ggml_init_cublas: found 1 CUDA devices:\n",
            "  Device 0: Tesla T4, compute capability 7.5\n",
            "ggml_init_cublas: found 1 CUDA devices:\n",
            "  Device 0: Tesla T4, compute capability 7.5\n",
            "2023-08-31 06:40:41 INFO:\u001b[32mllama.cpp weights detected: models/mythical-destroyer-v2-l2-13b.Q5_K_M.gguf\u001b[0m\n",
            "2023-08-31 06:40:41 INFO:\u001b[32mCache capacity is 0 bytes\u001b[0m\n",
            "llama_model_loader: loaded meta data with 19 key-value pairs and 363 tensors from models/mythical-destroyer-v2-l2-13b.Q5_K_M.gguf (version GGUF V2 (latest))\n",
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            "llama_model_loader: - tensor   46:          blk.13.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor   98:              blk.5.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor   99:         blk.5.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  100:              blk.5.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  101:              blk.5.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  102:           blk.6.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  103:            blk.6.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  104:            blk.6.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  105:              blk.6.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  106:            blk.6.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  107:              blk.6.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  108:         blk.6.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  109:              blk.6.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  111:           blk.7.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  112:            blk.7.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  113:            blk.7.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  114:              blk.7.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  115:            blk.7.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  120:           blk.8.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  121:            blk.8.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  122:            blk.8.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  123:              blk.8.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
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            "llama_model_loader: - tensor  129:           blk.9.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  130:            blk.9.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  131:            blk.9.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  132:              blk.9.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  133:            blk.9.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  138:          blk.15.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  139:           blk.15.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  140:           blk.15.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  141:             blk.15.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  142:           blk.15.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  143:        blk.15.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  145:          blk.16.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  146:           blk.16.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  147:           blk.16.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  148:             blk.16.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  149:           blk.16.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  154:          blk.17.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  155:           blk.17.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  156:           blk.17.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  157:             blk.17.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  158:           blk.17.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  163:          blk.18.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  164:           blk.18.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  165:           blk.18.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  166:             blk.18.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
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            "llama_model_loader: - tensor  172:          blk.19.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  173:           blk.19.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  174:           blk.19.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  175:             blk.19.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
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            "llama_model_loader: - tensor  181:          blk.20.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  182:           blk.20.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  183:           blk.20.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  184:             blk.20.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
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            "llama_model_loader: - tensor  190:          blk.21.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  191:           blk.21.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  192:           blk.21.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  193:             blk.21.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
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            "llama_model_loader: - tensor  199:          blk.22.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  200:           blk.22.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  201:           blk.22.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  202:             blk.22.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
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            "llama_model_loader: - tensor  208:          blk.23.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  209:           blk.23.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  210:           blk.23.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  211:             blk.23.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
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            "llama_model_loader: - tensor  217:          blk.24.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  218:           blk.24.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  219:           blk.24.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  220:             blk.24.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  221:           blk.24.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  222:             blk.24.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  226:          blk.25.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  227:           blk.25.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  228:           blk.25.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  229:             blk.25.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  230:           blk.25.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  231:             blk.25.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  232:        blk.25.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  233:             blk.25.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  234:             blk.25.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  235:          blk.26.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  236:           blk.26.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  237:           blk.26.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  238:             blk.26.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  239:           blk.26.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  240:             blk.26.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  241:        blk.26.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  242:             blk.26.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  243:             blk.26.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  244:          blk.27.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  245:           blk.27.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  246:           blk.27.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  247:             blk.27.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  248:           blk.27.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  249:             blk.27.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  250:        blk.27.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  251:             blk.27.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  252:             blk.27.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  253:          blk.28.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  254:           blk.28.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  255:           blk.28.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  256:             blk.28.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  257:           blk.28.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  258:             blk.28.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  259:        blk.28.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  260:             blk.28.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  261:             blk.28.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  262:          blk.29.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  263:           blk.29.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  264:           blk.29.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  265:             blk.29.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  266:           blk.29.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  267:             blk.29.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  268:        blk.29.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  269:             blk.29.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  270:             blk.29.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  271:           blk.30.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  272:           blk.30.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  273:             blk.30.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  274:        blk.30.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  275:             blk.30.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  276:             blk.30.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  277:                    output.weight q6_K     [  5120, 32000,     1,     1 ]\n",
            "llama_model_loader: - tensor  278:          blk.30.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  279:             blk.30.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  280:           blk.30.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  281:          blk.31.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  282:           blk.31.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  283:           blk.31.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  284:             blk.31.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  285:           blk.31.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  286:             blk.31.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  287:        blk.31.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  288:             blk.31.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  289:             blk.31.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  290:          blk.32.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  291:           blk.32.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  292:           blk.32.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  293:             blk.32.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  294:           blk.32.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  295:             blk.32.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  296:        blk.32.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  297:             blk.32.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  298:             blk.32.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  299:          blk.33.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  300:           blk.33.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  301:           blk.33.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  302:             blk.33.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  303:           blk.33.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  304:             blk.33.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  305:        blk.33.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  306:             blk.33.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  307:             blk.33.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  308:          blk.34.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  309:           blk.34.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  310:           blk.34.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  311:             blk.34.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  312:           blk.34.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  313:             blk.34.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  314:        blk.34.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  315:             blk.34.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  316:             blk.34.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  317:          blk.35.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  318:           blk.35.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  319:           blk.35.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  320:             blk.35.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  321:           blk.35.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  322:             blk.35.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  323:        blk.35.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  324:             blk.35.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  325:             blk.35.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  326:          blk.36.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  327:           blk.36.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  328:           blk.36.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  329:             blk.36.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  330:           blk.36.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  331:             blk.36.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  332:        blk.36.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  333:             blk.36.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  334:             blk.36.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  335:          blk.37.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  336:           blk.37.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  337:           blk.37.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  338:             blk.37.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  339:           blk.37.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  340:             blk.37.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  341:        blk.37.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  342:             blk.37.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  343:             blk.37.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  344:          blk.38.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  345:           blk.38.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  346:           blk.38.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  347:             blk.38.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  348:           blk.38.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  349:             blk.38.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  350:        blk.38.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  351:             blk.38.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  352:             blk.38.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  353:          blk.39.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  354:           blk.39.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  355:           blk.39.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  356:             blk.39.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  357:           blk.39.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  358:             blk.39.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  359:        blk.39.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  360:             blk.39.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  361:             blk.39.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  362:               output_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - kv   0:                       general.architecture str     \n",
            "llama_model_loader: - kv   1:                               general.name str     \n",
            "llama_model_loader: - kv   2:                       llama.context_length u32     \n",
            "llama_model_loader: - kv   3:                     llama.embedding_length u32     \n",
            "llama_model_loader: - kv   4:                          llama.block_count u32     \n",
            "llama_model_loader: - kv   5:                  llama.feed_forward_length u32     \n",
            "llama_model_loader: - kv   6:                 llama.rope.dimension_count u32     \n",
            "llama_model_loader: - kv   7:                 llama.attention.head_count u32     \n",
            "llama_model_loader: - kv   8:              llama.attention.head_count_kv u32     \n",
            "llama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32     \n",
            "llama_model_loader: - kv  10:                          general.file_type u32     \n",
            "llama_model_loader: - kv  11:                       tokenizer.ggml.model str     \n",
            "llama_model_loader: - kv  12:                      tokenizer.ggml.tokens arr     \n",
            "llama_model_loader: - kv  13:                      tokenizer.ggml.scores arr     \n",
            "llama_model_loader: - kv  14:                  tokenizer.ggml.token_type arr     \n",
            "llama_model_loader: - kv  15:                tokenizer.ggml.bos_token_id u32     \n",
            "llama_model_loader: - kv  16:                tokenizer.ggml.eos_token_id u32     \n",
            "llama_model_loader: - kv  17:            tokenizer.ggml.unknown_token_id u32     \n",
            "llama_model_loader: - kv  18:               general.quantization_version u32     \n",
            "llama_model_loader: - type  f32:   81 tensors\n",
            "llama_model_loader: - type q5_K:  241 tensors\n",
            "llama_model_loader: - type q6_K:   41 tensors\n",
            "llm_load_print_meta: format         = GGUF V2 (latest)\n",
            "llm_load_print_meta: arch           = llama\n",
            "llm_load_print_meta: vocab type     = SPM\n",
            "llm_load_print_meta: n_vocab        = 32000\n",
            "llm_load_print_meta: n_merges       = 0\n",
            "llm_load_print_meta: n_ctx_train    = 4096\n",
            "llm_load_print_meta: n_ctx          = 2048\n",
            "llm_load_print_meta: n_embd         = 5120\n",
            "llm_load_print_meta: n_head         = 40\n",
            "llm_load_print_meta: n_head_kv      = 40\n",
            "llm_load_print_meta: n_layer        = 40\n",
            "llm_load_print_meta: n_rot          = 128\n",
            "llm_load_print_meta: n_gqa          = 1\n",
            "llm_load_print_meta: f_norm_eps     = 1.0e-05\n",
            "llm_load_print_meta: f_norm_rms_eps = 1.0e-05\n",
            "llm_load_print_meta: n_ff           = 13824\n",
            "llm_load_print_meta: freq_base      = 10000.0\n",
            "llm_load_print_meta: freq_scale     = 1\n",
            "llm_load_print_meta: model type     = 13B\n",
            "llm_load_print_meta: model ftype    = mostly Q5_K - Medium\n",
            "llm_load_print_meta: model size     = 13.02 B\n",
            "llm_load_print_meta: general.name   = mythical-destroyer-v2-l2-13b\n",
            "llm_load_print_meta: BOS token = 1 '<s>'\n",
            "llm_load_print_meta: EOS token = 2 '</s>'\n",
            "llm_load_print_meta: UNK token = 0 '<unk>'\n",
            "llm_load_print_meta: LF token  = 13 '<0x0A>'\n",
            "llm_load_tensors: ggml ctx size =    0.11 MB\n",
            "llm_load_tensors: using CUDA for GPU acceleration\n",
            "llm_load_tensors: mem required  =  107.53 MB (+ 1600.00 MB per state)\n",
            "llm_load_tensors: offloading 40 repeating layers to GPU\n",
            "llm_load_tensors: offloading non-repeating layers to GPU\n",
            "llm_load_tensors: offloading v cache to GPU\n",
            "llm_load_tensors: offloading k cache to GPU\n",
            "llm_load_tensors: offloaded 43/43 layers to GPU\n",
            "llm_load_tensors: VRAM used: 10295 MB\n",
            "...................................................................................................\n",
            "llama_new_context_with_model: kv self size  = 1600.00 MB\n",
            "llama_new_context_with_model: compute buffer total size =  191.41 MB\n",
            "llama_new_context_with_model: VRAM scratch buffer: 190.00 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 | SSSE3 = 1 | VSX = 0 | \n",
            "2023-08-31 06:42:05 INFO:\u001b[32mLoaded the model in 95.96 seconds.\n",
            "\u001b[0m\n",
            "2023-08-31 06:42:05 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://74e659039f51046857.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n",
            "\n",
            "llama_print_timings:        load time =  1185.96 ms\n",
            "llama_print_timings:      sample time =   696.90 ms /  1000 runs   (    0.70 ms per token,  1434.92 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1185.89 ms /    59 tokens (   20.10 ms per token,    49.75 tokens per second)\n",
            "llama_print_timings:        eval time = 56573.96 ms /   999 runs   (   56.63 ms per token,    17.66 tokens per second)\n",
            "llama_print_timings:       total time = 65966.20 ms\n",
            "Output generated in 66.71 seconds (14.99 tokens/s, 1000 tokens, context 59, seed 1580100937)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1185.96 ms\n",
            "llama_print_timings:      sample time =   725.85 ms /  1000 runs   (    0.73 ms per token,  1377.69 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1382.92 ms /    80 tokens (   17.29 ms per token,    57.85 tokens per second)\n",
            "llama_print_timings:        eval time = 63105.37 ms /   999 runs   (   63.17 ms per token,    15.83 tokens per second)\n",
            "llama_print_timings:       total time = 72767.15 ms\n",
            "Output generated in 73.52 seconds (13.60 tokens/s, 1000 tokens, context 109, seed 2061640285)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1185.96 ms\n",
            "llama_print_timings:      sample time =   703.28 ms /  1000 runs   (    0.70 ms per token,  1421.92 tokens per second)\n",
            "llama_print_timings: prompt eval time =   989.32 ms /    59 tokens (   16.77 ms per token,    59.64 tokens per second)\n",
            "llama_print_timings:        eval time = 62927.84 ms /   999 runs   (   62.99 ms per token,    15.88 tokens per second)\n",
            "llama_print_timings:       total time = 71645.71 ms\n",
            "Output generated in 72.72 seconds (13.75 tokens/s, 1000 tokens, context 88, seed 151313512)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1185.96 ms\n",
            "llama_print_timings:      sample time =   715.84 ms /  1000 runs   (    0.72 ms per token,  1396.96 tokens per second)\n",
            "llama_print_timings: prompt eval time =   984.19 ms /    60 tokens (   16.40 ms per token,    60.96 tokens per second)\n",
            "llama_print_timings:        eval time = 62805.64 ms /   999 runs   (   62.87 ms per token,    15.91 tokens per second)\n",
            "llama_print_timings:       total time = 71919.47 ms\n",
            "Output generated in 72.67 seconds (13.76 tokens/s, 1000 tokens, context 89, seed 1198467832)\n",
            "Llama.generate: prefix-match hit\n",
            "Output generated in 63.61 seconds (10.49 tokens/s, 667 tokens, context 1089, seed 877544351)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1185.96 ms\n",
            "llama_print_timings:      sample time =   661.83 ms /  1000 runs   (    0.66 ms per token,  1510.97 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1330.62 ms /    82 tokens (   16.23 ms per token,    61.63 tokens per second)\n",
            "llama_print_timings:        eval time = 63877.00 ms /   999 runs   (   63.94 ms per token,    15.64 tokens per second)\n",
            "llama_print_timings:       total time = 72061.48 ms\n",
            "Output generated in 73.02 seconds (13.69 tokens/s, 1000 tokens, context 83, seed 376278901)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1185.96 ms\n",
            "llama_print_timings:      sample time =   659.03 ms /  1000 runs   (    0.66 ms per token,  1517.37 tokens per second)\n",
            "llama_print_timings: prompt eval time =   959.80 ms /    41 tokens (   23.41 ms per token,    42.72 tokens per second)\n",
            "llama_print_timings:        eval time = 63300.78 ms /   999 runs   (   63.36 ms per token,    15.78 tokens per second)\n",
            "llama_print_timings:       total time = 71185.66 ms\n",
            "Output generated in 71.92 seconds (13.90 tokens/s, 1000 tokens, context 70, seed 1027940099)\n",
            "Llama.generate: prefix-match hit\n",
            "Output generated in 38.56 seconds (9.49 tokens/s, 366 tokens, context 1070, seed 22914898)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1185.96 ms\n",
            "llama_print_timings:      sample time =   709.43 ms /  1001 runs   (    0.71 ms per token,  1410.99 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1350.61 ms /    76 tokens (   17.77 ms per token,    56.27 tokens per second)\n",
            "llama_print_timings:        eval time = 63581.14 ms /  1000 runs   (   63.58 ms per token,    15.73 tokens per second)\n",
            "llama_print_timings:       total time = 71710.02 ms\n",
            "Output generated in 72.79 seconds (6.83 tokens/s, 497 tokens, context 77, seed 42230967)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1185.96 ms\n",
            "llama_print_timings:      sample time =   709.69 ms /  1000 runs   (    0.71 ms per token,  1409.07 tokens per second)\n",
            "llama_print_timings: prompt eval time =   690.57 ms /    28 tokens (   24.66 ms per token,    40.55 tokens per second)\n",
            "llama_print_timings:        eval time = 62438.72 ms /   999 runs   (   62.50 ms per token,    16.00 tokens per second)\n",
            "llama_print_timings:       total time = 71415.26 ms\n",
            "Output generated in 72.28 seconds (13.84 tokens/s, 1000 tokens, context 57, seed 1870837448)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1185.96 ms\n",
            "llama_print_timings:      sample time =   694.69 ms /  1000 runs   (    0.69 ms per token,  1439.49 tokens per second)\n",
            "llama_print_timings: prompt eval time =   687.47 ms /    17 tokens (   40.44 ms per token,    24.73 tokens per second)\n",
            "llama_print_timings:        eval time = 62810.48 ms /   999 runs   (   62.87 ms per token,    15.90 tokens per second)\n",
            "llama_print_timings:       total time = 71334.94 ms\n",
            "Output generated in 72.14 seconds (13.86 tokens/s, 1000 tokens, context 46, seed 2013732372)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1185.96 ms\n",
            "llama_print_timings:      sample time =   745.98 ms /  1000 runs   (    0.75 ms per token,  1340.53 tokens per second)\n",
            "llama_print_timings: prompt eval time =   960.54 ms /    55 tokens (   17.46 ms per token,    57.26 tokens per second)\n",
            "llama_print_timings:        eval time = 62347.64 ms /   999 runs   (   62.41 ms per token,    16.02 tokens per second)\n",
            "llama_print_timings:       total time = 71852.53 ms\n",
            "Output generated in 72.87 seconds (13.72 tokens/s, 1000 tokens, context 84, seed 1897976291)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1185.96 ms\n",
            "llama_print_timings:      sample time =   687.56 ms /   998 runs   (    0.69 ms per token,  1451.51 tokens per second)\n",
            "llama_print_timings: prompt eval time =  9137.83 ms /  1049 tokens (    8.71 ms per token,   114.80 tokens per second)\n",
            "llama_print_timings:        eval time = 72533.85 ms /   997 runs   (   72.75 ms per token,    13.75 tokens per second)\n",
            "llama_print_timings:       total time = 90017.84 ms\n",
            "llama_tokenize_with_model: too many tokens\n",
            "Output generated in 90.77 seconds (11.00 tokens/s, 998 tokens, context 1084, seed 1661103627)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1185.96 ms\n",
            "llama_print_timings:      sample time =   678.61 ms /  1000 runs   (    0.68 ms per token,  1473.60 tokens per second)\n",
            "llama_print_timings: prompt eval time =   953.81 ms /    53 tokens (   18.00 ms per token,    55.57 tokens per second)\n",
            "llama_print_timings:        eval time = 63382.98 ms /   999 runs   (   63.45 ms per token,    15.76 tokens per second)\n",
            "llama_print_timings:       total time = 71340.20 ms\n",
            "Output generated in 72.41 seconds (13.81 tokens/s, 1000 tokens, context 54, seed 1849625243)\n",
            "Llama.generate: prefix-match hit\n",
            "Output generated in 57.83 seconds (13.38 tokens/s, 774 tokens, context 213, seed 2046291949)\n",
            "Llama.generate: prefix-match hit\n",
            "Output generated in 46.97 seconds (12.69 tokens/s, 596 tokens, context 341, seed 1484906299)\n",
            "Llama.generate: prefix-match hit\n",
            "Output generated in 56.29 seconds (13.68 tokens/s, 770 tokens, context 45, seed 1119912881)\n",
            "Llama.generate: prefix-match hit\n",
            "Output generated in 65.85 seconds (13.38 tokens/s, 881 tokens, context 122, seed 503697541)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1185.96 ms\n",
            "llama_print_timings:      sample time =   684.84 ms /  1000 runs   (    0.68 ms per token,  1460.19 tokens per second)\n",
            "llama_print_timings: prompt eval time =  2041.12 ms /   175 tokens (   11.66 ms per token,    85.74 tokens per second)\n",
            "llama_print_timings:        eval time = 64629.36 ms /   999 runs   (   64.69 ms per token,    15.46 tokens per second)\n",
            "llama_print_timings:       total time = 74146.87 ms\n",
            "Output generated in 74.92 seconds (10.98 tokens/s, 823 tokens, context 204, seed 429811847)\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "!apt-get -y install -qq aria2\n",
        "\n",
        "!git clone -b V20230828 https://github.com/Troyanovsky/text-generation-webui\n",
        "%cd /content/text-generation-webui\n",
        "!pip install -r requirements.txt\n",
        "!pip install -U gradio==3.33.1\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/Mythical-Destroyer-V2-L2-13B-GGUF/resolve/main/mythical-destroyer-v2-l2-13b.Q5_K_M.gguf -d /content/text-generation-webui/models/ -o mythical-destroyer-v2-l2-13b.Q5_K_M.gguf\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --n-gpu-layers 1000000000 --model mythical-destroyer-v2-l2-13b.Q5_K_M.gguf"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyMHdxJRLrf5DTsYJXQz8KYo",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}