Mistral_7B_Instruct_v0_2_GGUF.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/Mistral_7B_Instruct_v0_2_GGUF.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": [
        "## Mistral-7B-Instruct-v0.2-GGUF WebUI\n",
        "1. Run the following cell, takes ~5 min\n",
        "(You may need to confirm to proceed by typing \"Y\")\n",
        "2. Click the gradio link at the bottom\n",
        "3. In Chat settings - Instruction Template: Mistral\n",
        "\n",
        "```\n",
        "<s>[INST] {prompt} [/INST]\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "147749fe-c91f-4541-9b2d-7cccce224e90"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n",
            "Selecting previously unselected package libc-ares2:amd64.\n",
            "(Reading database ... 120903 files and directories currently installed.)\n",
            "Preparing to unpack .../libc-ares2_1.18.1-1ubuntu0.22.04.2_amd64.deb ...\n",
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            "Setting up libc-ares2:amd64 (1.18.1-1ubuntu0.22.04.2) ...\n",
            "Setting up libaria2-0:amd64 (1.36.0-1) ...\n",
            "Setting up aria2 (1.36.0-1) ...\n",
            "Processing triggers for man-db (2.10.2-1) ...\n",
            "Processing triggers for libc-bin (2.35-0ubuntu3.4) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link\n",
            "\n",
            "Cloning into 'text-generation-webui'...\n",
            "remote: Enumerating objects: 14570, done.\u001b[K\n",
            "remote: Total 14570 (delta 0), reused 0 (delta 0), pack-reused 14570\u001b[K\n",
            "Receiving objects: 100% (14570/14570), 25.77 MiB | 33.96 MiB/s, done.\n",
            "Resolving deltas: 100% (10066/10066), done.\n",
            "Note: switching to '705f04a0c9b09870fbe595dbba1d61db8289a07b'.\n",
            "\n",
            "You are in 'detached HEAD' state. You can look around, make experimental\n",
            "changes and commit them, and you can discard any commits you make in this\n",
            "state without impacting any branches by switching back to a branch.\n",
            "\n",
            "If you want to create a new branch to retain commits you create, you may\n",
            "do so (now or later) by using -c with the switch command. Example:\n",
            "\n",
            "  git switch -c <new-branch-name>\n",
            "\n",
            "Or undo this operation with:\n",
            "\n",
            "  git switch -\n",
            "\n",
            "Turn off this advice by setting config variable advice.detachedHead to false\n",
            "\n",
            "/content/text-generation-webui\n",
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            "  Cloning https://github.com/oobabooga/torch-grammar.git to /tmp/pip-req-build-qmlwlwio\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/oobabooga/torch-grammar.git /tmp/pip-req-build-qmlwlwio\n",
            "  Resolved https://github.com/oobabooga/torch-grammar.git to commit 82850b5383a629f3b0fa1fba7d8f2aba3185ddb2\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
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            "Collecting pyproject-api>=1.6.1 (from tox>=3.0.0->attributedict->autoawq==0.1.7->-r requirements.txt (line 89))\n",
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            "\u001b[?25hCollecting DataProperty<2,>=1.0.1 (from pytablewriter->lm-eval->autoawq==0.1.7->-r requirements.txt (line 89))\n",
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            "\u001b[?25hBuilding wheels for collected packages: torch-grammar, ffmpy, rouge-score, sqlitedict\n",
            "  Building wheel for torch-grammar (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for torch-grammar: filename=torch_grammar-0.3.3-py3-none-any.whl size=8259 sha256=43be34776231fd2667ba9ad3979c115c48a2c24c75a4393f0ef4f4ac2379d364\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-bipoe4t3/wheels/dd/00/c9/08292a4496a8b7e174aefc6e0a8194cbb53977b7cbdd3006b7\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=2633c36917206dd6bd18418abf395bf0a6b999d2cea64bd5e8710359c6b745a4\n",
            "  Stored in directory: /root/.cache/pip/wheels/01/a6/d1/1c0828c304a4283b2c1639a09ad86f83d7c487ef34c6b4a1bf\n",
            "  Building wheel for rouge-score (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24933 sha256=44c5ff9672473980b2eb6afa85e4023c63a6020fb8d086224e884218c26cb1ae\n",
            "  Stored in directory: /root/.cache/pip/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4\n",
            "  Building wheel for sqlitedict (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16863 sha256=1c70c1f3b7ecba6dfaa843093dab854459d1eb36dc25fc4fc5f9f8d32f69a69f\n",
            "  Stored in directory: /root/.cache/pip/wheels/79/d6/e7/304e0e6cb2221022c26d8161f7c23cd4f259a9e41e8bbcfabd\n",
            "Successfully built torch-grammar ffmpy rouge-score sqlitedict\n",
            "Installing collected packages: texttable, sqlitedict, sentencepiece, pydub, ninja, gptq-for-llama, ffmpy, distlib, bitsandbytes, zstandard, websockets, virtualenv, typing-extensions, tcolorpy, smmap, setproctitle, sentry-sdk, semantic-version, rouge, python-multipart, pyproject-api, pycountry, pybind11, pyarrow-hotfix, portalocker, Pillow, pathvalidate, orjson, ordered-set, numpy, mbstrdecoder, jsonlines, humanfriendly, h11, einops, docker-pycreds, dill, cramjam, coverage, colorama, blessings, aiofiles, uvicorn, typepy, tqdm-multiprocess, tox, starlette, sacrebleu, rouge-score, multiprocess, llama-cpp-python-cuda, llama-cpp-python, httpcore, gitdb, gekko, deepdiff, colour-runner, coloredlogs, codecov, rootpath, httpx, GitPython, flash-attn, fastparquet, fastapi, exllama, ctransformers, accelerate, wandb, openai, inspecta, gradio-client, exllamav2, datasets, DataProperty, torch-grammar, tabledata, peft, gradio, attributedict, pytablewriter, optimum, auto-gptq, lm-eval, autoawq\n",
            "  Attempting uninstall: typing-extensions\n",
            "    Found existing installation: typing_extensions 4.5.0\n",
            "    Uninstalling typing_extensions-4.5.0:\n",
            "      Successfully uninstalled typing_extensions-4.5.0\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",
            "\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",
            "lida 0.0.10 requires kaleido, which is not installed.\n",
            "llmx 0.0.15a0 requires cohere, which is not installed.\n",
            "llmx 0.0.15a0 requires tiktoken, which is not installed.\n",
            "imageio 2.31.6 requires pillow<10.1.0,>=8.3.2, but you have pillow 10.1.0 which is incompatible.\n",
            "tensorflow-probability 0.22.0 requires typing-extensions<4.6.0, but you have typing-extensions 4.9.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed DataProperty-1.0.1 GitPython-3.1.40 Pillow-10.1.0 accelerate-0.25.0 aiofiles-23.2.1 attributedict-0.3.0 auto-gptq-0.5.1+cu121 autoawq-0.1.7 bitsandbytes-0.41.1 blessings-1.7 codecov-2.1.13 colorama-0.4.6 coloredlogs-15.0.1 colour-runner-0.1.1 coverage-7.3.2 cramjam-2.7.0 ctransformers-0.2.27+cu121 datasets-2.15.0 deepdiff-6.7.1 dill-0.3.7 distlib-0.3.8 docker-pycreds-0.4.0 einops-0.7.0 exllama-0.0.18+cu121 exllamav2-0.0.10+cu121 fastapi-0.105.0 fastparquet-2023.10.1 ffmpy-0.3.1 flash-attn-2.3.4 gekko-1.0.6 gitdb-4.0.11 gptq-for-llama-0.1.1+cu121 gradio-3.50.2 gradio-client-0.6.1 h11-0.14.0 httpcore-1.0.2 httpx-0.25.2 humanfriendly-10.0 inspecta-0.1.3 jsonlines-4.0.0 llama-cpp-python-0.2.19+cpuavx2 llama-cpp-python-cuda-0.2.19+cu121 lm-eval-0.3.0 mbstrdecoder-1.1.3 multiprocess-0.70.15 ninja-1.11.1.1 numpy-1.24.4 openai-1.3.9 optimum-1.14.0 ordered-set-4.1.0 orjson-3.9.10 pathvalidate-3.2.0 peft-0.6.2 portalocker-2.8.2 pyarrow-hotfix-0.6 pybind11-2.11.1 pycountry-23.12.11 pydub-0.25.1 pyproject-api-1.6.1 pytablewriter-1.2.0 python-multipart-0.0.6 rootpath-0.1.1 rouge-1.0.1 rouge-score-0.1.2 sacrebleu-1.5.0 semantic-version-2.10.0 sentencepiece-0.1.99 sentry-sdk-1.39.0 setproctitle-1.3.3 smmap-5.0.1 sqlitedict-2.1.0 starlette-0.27.0 tabledata-1.3.3 tcolorpy-0.1.4 texttable-1.7.0 torch-grammar-0.3.3 tox-4.11.4 tqdm-multiprocess-0.0.11 typepy-1.3.2 typing-extensions-4.9.0 uvicorn-0.24.0.post1 virtualenv-20.25.0 wandb-0.16.1 websockets-11.0.3 zstandard-0.22.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL",
                  "numpy"
                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Found existing installation: llama_cpp_python 0.2.19+cpuavx2\n",
            "Uninstalling llama_cpp_python-0.2.19+cpuavx2:\n",
            "  Successfully uninstalled llama_cpp_python-0.2.19+cpuavx2\n",
            "Collecting llama-cpp-python\n",
            "  Downloading llama_cpp_python-0.2.22.tar.gz (8.7 MB)\n",
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            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
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            "  Installing backend dependencies ... \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) (4.9.0)\n",
            "Requirement already satisfied: numpy>=1.20.0 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python) (1.24.4)\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-0.2.22-cp310-cp310-manylinux_2_35_x86_64.whl size=7835386 sha256=c0832b224e37f05f2dc86097a2623faae4487f867076560ccfeaccb42ee2a884\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-9vlxga8j/wheels/64/7e/c4/11fee2bb4b914968fabb2168c237ab1ade9702cfd2c274c4bd\n",
            "Successfully built llama-cpp-python\n",
            "Installing collected packages: llama-cpp-python\n",
            "Successfully installed llama-cpp-python-0.2.22\n",
            "Found existing installation: flash-attn 2.3.4\n",
            "Uninstalling flash-attn-2.3.4:\n",
            "  Successfully uninstalled flash-attn-2.3.4\n",
            "Collecting flash-attn==2.3.4\n",
            "  Downloading flash_attn-2.3.4.tar.gz (2.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 MB\u001b[0m \u001b[31m10.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.4) (2.1.0+cu118)\n",
            "Requirement already satisfied: einops in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.4) (0.7.0)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.4) (23.2)\n",
            "Requirement already satisfied: ninja in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.4) (1.11.1.1)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.4) (3.13.1)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.4) (4.9.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.4) (1.12)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.4) (3.2.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.4) (3.1.2)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.4) (2023.6.0)\n",
            "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.4) (2.1.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch->flash-attn==2.3.4) (2.1.3)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->flash-attn==2.3.4) (1.3.0)\n",
            "Building wheels for collected packages: flash-attn\n",
            "  Building wheel for flash-attn (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for flash-attn: filename=flash_attn-2.3.4-cp310-cp310-linux_x86_64.whl size=57449248 sha256=4ceff7f9ad6a6747975b568f3193b2416f598808b5e860fb09555dbfa32b42cf\n",
            "  Stored in directory: /root/.cache/pip/wheels/32/19/1b/bf8147431c43f8b8d2b2e5d66be1ebf586f2fca96d72203f53\n",
            "Successfully built flash-attn\n",
            "Installing collected packages: flash-attn\n",
            "Successfully installed flash-attn-2.3.4\n",
            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "f53987|\u001b[1;32mOK\u001b[0m  |   213MiB/s|/content/text-generation-webui/models//mistral-7b-instruct-v0.2.Q5_K_M.gguf\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "2023-12-13 06:10:40 INFO:\u001b[32mLoading mistral-7b-instruct-v0.2.Q5_K_M.gguf...\u001b[0m\n",
            "2023-12-13 06:10:40 INFO:\u001b[32mllama.cpp weights detected: models/mistral-7b-instruct-v0.2.Q5_K_M.gguf\u001b[0m\n",
            "ggml_init_cublas: GGML_CUDA_FORCE_MMQ:   no\n",
            "ggml_init_cublas: CUDA_USE_TENSOR_CORES: yes\n",
            "ggml_init_cublas: found 1 CUDA devices:\n",
            "  Device 0: Tesla T4, compute capability 7.5\n",
            "llama_model_loader: loaded meta data with 24 key-value pairs and 291 tensors from models/mistral-7b-instruct-v0.2.Q5_K_M.gguf (version GGUF V3 (latest))\n",
            "llama_model_loader: - tensor    0:                token_embd.weight q5_K     [  4096, 32000,     1,     1 ]\n",
            "llama_model_loader: - tensor    1:              blk.0.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor    2:              blk.0.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor    3:              blk.0.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor    4:         blk.0.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor    5:            blk.0.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor    6:              blk.0.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor    7:            blk.0.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor    8:           blk.0.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor    9:            blk.0.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   10:              blk.1.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   11:              blk.1.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   12:              blk.1.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   13:         blk.1.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   14:            blk.1.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   15:              blk.1.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   16:            blk.1.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   17:           blk.1.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   18:            blk.1.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   19:              blk.2.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   20:              blk.2.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   21:              blk.2.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   22:         blk.2.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   23:            blk.2.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   24:              blk.2.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   25:            blk.2.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   26:           blk.2.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   27:            blk.2.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   28:              blk.3.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   29:              blk.3.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   30:              blk.3.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   31:         blk.3.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   32:            blk.3.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   33:              blk.3.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   34:            blk.3.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   35:           blk.3.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   36:            blk.3.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   37:              blk.4.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   38:              blk.4.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   39:              blk.4.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   40:         blk.4.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   41:            blk.4.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   42:              blk.4.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   43:            blk.4.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   44:           blk.4.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   45:            blk.4.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   46:              blk.5.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   47:              blk.5.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   48:              blk.5.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   49:         blk.5.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   50:            blk.5.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   51:              blk.5.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   52:            blk.5.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   53:           blk.5.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   54:            blk.5.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   55:              blk.6.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   56:              blk.6.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   57:              blk.6.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   58:         blk.6.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   59:            blk.6.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   60:              blk.6.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   61:            blk.6.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   62:           blk.6.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   63:            blk.6.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   64:              blk.7.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   65:              blk.7.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   66:              blk.7.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   67:         blk.7.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   68:            blk.7.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   69:              blk.7.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   70:            blk.7.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   71:           blk.7.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   72:            blk.7.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   73:              blk.8.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   74:              blk.8.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   75:              blk.8.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   76:         blk.8.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   77:            blk.8.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   78:              blk.8.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   79:            blk.8.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   80:           blk.8.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   81:            blk.8.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   82:              blk.9.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   83:              blk.9.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   84:              blk.9.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   85:         blk.9.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   86:            blk.9.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   87:              blk.9.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   88:            blk.9.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   89:           blk.9.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   90:            blk.9.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   91:             blk.10.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   92:             blk.10.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   93:             blk.10.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   94:        blk.10.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   95:           blk.10.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   96:             blk.10.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   97:           blk.10.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   98:          blk.10.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   99:           blk.10.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  100:             blk.11.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  101:             blk.11.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  102:             blk.11.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  103:        blk.11.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  104:           blk.11.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  105:             blk.11.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  106:           blk.11.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  107:          blk.11.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  108:           blk.11.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  109:             blk.12.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  110:             blk.12.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  111:             blk.12.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  112:        blk.12.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  113:           blk.12.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  114:             blk.12.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  115:           blk.12.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  116:          blk.12.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  117:           blk.12.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  118:             blk.13.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  119:             blk.13.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  120:             blk.13.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  121:        blk.13.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  122:           blk.13.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  123:             blk.13.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  124:           blk.13.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  125:          blk.13.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  126:           blk.13.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  127:             blk.14.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  128:             blk.14.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  129:             blk.14.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  130:        blk.14.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  131:           blk.14.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  132:             blk.14.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  133:           blk.14.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  134:          blk.14.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  135:           blk.14.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  136:             blk.15.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  137:             blk.15.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  138:             blk.15.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  139:        blk.15.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  140:           blk.15.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  141:             blk.15.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  142:           blk.15.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  143:          blk.15.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  144:           blk.15.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  145:             blk.16.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  146:             blk.16.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  147:             blk.16.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  148:        blk.16.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  149:           blk.16.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  150:             blk.16.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  151:           blk.16.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  152:          blk.16.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  153:           blk.16.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  154:             blk.17.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  155:             blk.17.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  156:             blk.17.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  157:        blk.17.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  158:           blk.17.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  159:             blk.17.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  160:           blk.17.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  161:          blk.17.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  162:           blk.17.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  163:             blk.18.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  164:             blk.18.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  165:             blk.18.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  166:        blk.18.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  167:           blk.18.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  168:             blk.18.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  169:           blk.18.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  170:          blk.18.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  171:           blk.18.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  172:             blk.19.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  173:             blk.19.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  174:             blk.19.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  175:        blk.19.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  176:           blk.19.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  177:             blk.19.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  178:           blk.19.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  179:          blk.19.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  180:           blk.19.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  181:             blk.20.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  182:             blk.20.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  183:             blk.20.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  184:        blk.20.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  185:           blk.20.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  186:             blk.20.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  187:           blk.20.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  188:          blk.20.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  189:           blk.20.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  190:             blk.21.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  191:             blk.21.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  192:             blk.21.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  193:        blk.21.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  194:           blk.21.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  195:             blk.21.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  196:           blk.21.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  197:          blk.21.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  198:           blk.21.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  199:             blk.22.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  200:             blk.22.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  201:             blk.22.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  202:        blk.22.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  203:           blk.22.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  204:             blk.22.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  205:           blk.22.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  206:          blk.22.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  207:           blk.22.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  208:             blk.23.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  209:             blk.23.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  210:             blk.23.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  211:        blk.23.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  212:           blk.23.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  213:             blk.23.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  214:           blk.23.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  215:          blk.23.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  216:           blk.23.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  217:             blk.24.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  218:             blk.24.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  219:             blk.24.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  220:        blk.24.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  221:           blk.24.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  222:             blk.24.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  223:           blk.24.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  224:          blk.24.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  225:           blk.24.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  226:             blk.25.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  227:             blk.25.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  228:             blk.25.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  229:        blk.25.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  230:           blk.25.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  231:             blk.25.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  232:           blk.25.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  233:          blk.25.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  234:           blk.25.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  235:             blk.26.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  236:             blk.26.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  237:             blk.26.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  238:        blk.26.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  239:           blk.26.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  240:             blk.26.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  241:           blk.26.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  242:          blk.26.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  243:           blk.26.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  244:             blk.27.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  245:             blk.27.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  246:             blk.27.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  247:        blk.27.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  248:           blk.27.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  249:             blk.27.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  250:           blk.27.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  251:          blk.27.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  252:           blk.27.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  253:             blk.28.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  254:             blk.28.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  255:             blk.28.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  256:        blk.28.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  257:           blk.28.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  258:             blk.28.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  259:           blk.28.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  260:          blk.28.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  261:           blk.28.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  262:             blk.29.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  263:             blk.29.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  264:             blk.29.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  265:        blk.29.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  266:           blk.29.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  267:             blk.29.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  268:           blk.29.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  269:          blk.29.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  270:           blk.29.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  271:             blk.30.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  272:             blk.30.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  273:             blk.30.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  274:        blk.30.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  275:           blk.30.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  276:             blk.30.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  277:           blk.30.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  278:          blk.30.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  279:           blk.30.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  280:             blk.31.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  281:             blk.31.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  282:             blk.31.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  283:        blk.31.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  284:           blk.31.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  285:             blk.31.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  286:           blk.31.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  287:          blk.31.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  288:           blk.31.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  289:               output_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  290:                    output.weight q6_K     [  4096, 32000,     1,     1 ]\n",
            "llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.\n",
            "llama_model_loader: - kv   0:                       general.architecture str              = llama\n",
            "llama_model_loader: - kv   1:                               general.name str              = mistralai_mistral-7b-instruct-v0.2\n",
            "llama_model_loader: - kv   2:                       llama.context_length u32              = 32768\n",
            "llama_model_loader: - kv   3:                     llama.embedding_length u32              = 4096\n",
            "llama_model_loader: - kv   4:                          llama.block_count u32              = 32\n",
            "llama_model_loader: - kv   5:                  llama.feed_forward_length u32              = 14336\n",
            "llama_model_loader: - kv   6:                 llama.rope.dimension_count u32              = 128\n",
            "llama_model_loader: - kv   7:                 llama.attention.head_count u32              = 32\n",
            "llama_model_loader: - kv   8:              llama.attention.head_count_kv u32              = 8\n",
            "llama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32              = 0.000010\n",
            "llama_model_loader: - kv  10:                       llama.rope.freq_base f32              = 1000000.000000\n",
            "llama_model_loader: - kv  11:                          general.file_type u32              = 17\n",
            "llama_model_loader: - kv  12:                       tokenizer.ggml.model str              = llama\n",
            "llama_model_loader: - kv  13:                      tokenizer.ggml.tokens arr[str,32000]   = [\"<unk>\", \"<s>\", \"</s>\", \"<0x00>\", \"<...\n",
            "llama_model_loader: - kv  14:                      tokenizer.ggml.scores arr[f32,32000]   = [0.000000, 0.000000, 0.000000, 0.0000...\n",
            "llama_model_loader: - kv  15:                  tokenizer.ggml.token_type arr[i32,32000]   = [2, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, ...\n",
            "llama_model_loader: - kv  16:                tokenizer.ggml.bos_token_id u32              = 1\n",
            "llama_model_loader: - kv  17:                tokenizer.ggml.eos_token_id u32              = 2\n",
            "llama_model_loader: - kv  18:            tokenizer.ggml.unknown_token_id u32              = 0\n",
            "llama_model_loader: - kv  19:            tokenizer.ggml.padding_token_id u32              = 0\n",
            "llama_model_loader: - kv  20:               tokenizer.ggml.add_bos_token bool             = true\n",
            "llama_model_loader: - kv  21:               tokenizer.ggml.add_eos_token bool             = false\n",
            "llama_model_loader: - kv  22:                    tokenizer.chat_template str              = {{ bos_token }}{% for message in mess...\n",
            "llama_model_loader: - kv  23:               general.quantization_version u32              = 2\n",
            "llama_model_loader: - type  f32:   65 tensors\n",
            "llama_model_loader: - type q5_K:  193 tensors\n",
            "llama_model_loader: - type q6_K:   33 tensors\n",
            "llm_load_vocab: special tokens definition check successful ( 259/32000 ).\n",
            "llm_load_print_meta: format           = GGUF V3 (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      = 32768\n",
            "llm_load_print_meta: n_embd           = 4096\n",
            "llm_load_print_meta: n_head           = 32\n",
            "llm_load_print_meta: n_head_kv        = 8\n",
            "llm_load_print_meta: n_layer          = 32\n",
            "llm_load_print_meta: n_rot            = 128\n",
            "llm_load_print_meta: n_gqa            = 4\n",
            "llm_load_print_meta: f_norm_eps       = 0.0e+00\n",
            "llm_load_print_meta: f_norm_rms_eps   = 1.0e-05\n",
            "llm_load_print_meta: f_clamp_kqv      = 0.0e+00\n",
            "llm_load_print_meta: f_max_alibi_bias = 0.0e+00\n",
            "llm_load_print_meta: n_ff             = 14336\n",
            "llm_load_print_meta: rope scaling     = linear\n",
            "llm_load_print_meta: freq_base_train  = 1000000.0\n",
            "llm_load_print_meta: freq_scale_train = 1\n",
            "llm_load_print_meta: n_yarn_orig_ctx  = 32768\n",
            "llm_load_print_meta: rope_finetuned   = unknown\n",
            "llm_load_print_meta: model type       = 7B\n",
            "llm_load_print_meta: model ftype      = mostly Q5_K - Medium\n",
            "llm_load_print_meta: model params     = 7.24 B\n",
            "llm_load_print_meta: model size       = 4.78 GiB (5.67 BPW) \n",
            "llm_load_print_meta: general.name     = mistralai_mistral-7b-instruct-v0.2\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: PAD token        = 0 '<unk>'\n",
            "llm_load_print_meta: LF token         = 13 '<0x0A>'\n",
            "llm_load_tensors: ggml ctx size =    0.11 MiB\n",
            "llm_load_tensors: using CUDA for GPU acceleration\n",
            "llm_load_tensors: mem required  =   86.04 MiB\n",
            "llm_load_tensors: offloading 32 repeating layers to GPU\n",
            "llm_load_tensors: offloading non-repeating layers to GPU\n",
            "llm_load_tensors: offloaded 33/33 layers to GPU\n",
            "llm_load_tensors: VRAM used: 4807.05 MiB\n",
            "..................................................................................................\n",
            "llama_new_context_with_model: n_ctx      = 32768\n",
            "llama_new_context_with_model: freq_base  = 1000000.0\n",
            "llama_new_context_with_model: freq_scale = 1\n",
            "llama_new_context_with_model: KV self size  = 4096.00 MiB, K (f16): 2048.00 MiB, V (f16): 2048.00 MiB\n",
            "llama_build_graph: non-view tensors processed: 676/676\n",
            "llama_new_context_with_model: compute buffer total size = 2139.07 MiB\n",
            "llama_new_context_with_model: VRAM scratch buffer: 2136.00 MiB\n",
            "llama_new_context_with_model: total VRAM used: 6943.06 MiB (model: 4807.05 MiB, context: 2136.00 MiB)\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",
            "2023-12-13 06:11:14 INFO:\u001b[32mLOADER: llama.cpp\u001b[0m\n",
            "2023-12-13 06:11:14 INFO:\u001b[32mTRUNCATION LENGTH: 32768\u001b[0m\n",
            "2023-12-13 06:11:14 INFO:\u001b[32mINSTRUCTION TEMPLATE: Mistral\u001b[0m\n",
            "2023-12-13 06:11:14 INFO:\u001b[32mLoaded the model in 34.50 seconds.\u001b[0m\n",
            "2023-12-13 06:11:14 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://7f0e59d6ebafeb5fe3.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 =     600.53 ms\n",
            "llama_print_timings:      sample time =      52.18 ms /    85 runs   (    0.61 ms per token,  1628.88 tokens per second)\n",
            "llama_print_timings: prompt eval time =     600.19 ms /    26 tokens (   23.08 ms per token,    43.32 tokens per second)\n",
            "llama_print_timings:        eval time =    3772.96 ms /    84 runs   (   44.92 ms per token,    22.26 tokens per second)\n",
            "llama_print_timings:       total time =    4979.57 ms\n",
            "Output generated in 5.69 seconds (14.76 tokens/s, 84 tokens, context 26, seed 1623939424)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     600.53 ms\n",
            "llama_print_timings:      sample time =     148.40 ms /   180 runs   (    0.82 ms per token,  1212.91 tokens per second)\n",
            "llama_print_timings: prompt eval time =    1578.79 ms /   111 tokens (   14.22 ms per token,    70.31 tokens per second)\n",
            "llama_print_timings:        eval time =   12305.15 ms /   179 runs   (   68.74 ms per token,    14.55 tokens per second)\n",
            "llama_print_timings:       total time =   18326.99 ms\n",
            "Output generated in 18.92 seconds (9.46 tokens/s, 179 tokens, context 138, seed 2139461428)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     600.53 ms\n",
            "llama_print_timings:      sample time =      19.94 ms /    36 runs   (    0.55 ms per token,  1805.78 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 =    1635.46 ms /    36 runs   (   45.43 ms per token,    22.01 tokens per second)\n",
            "llama_print_timings:       total time =    1862.63 ms\n",
            "Output generated in 2.58 seconds (13.59 tokens/s, 35 tokens, context 113, seed 926631817)\n",
            "2023-12-13 06:36:48 INFO:\u001b[32mDeleted logs/instruct/20231213-06-21-59.json.\u001b[0m\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     600.53 ms\n",
            "llama_print_timings:      sample time =     174.27 ms /   286 runs   (    0.61 ms per token,  1641.12 tokens per second)\n",
            "llama_print_timings: prompt eval time =     666.06 ms /    30 tokens (   22.20 ms per token,    45.04 tokens per second)\n",
            "llama_print_timings:        eval time =   14275.87 ms /   285 runs   (   50.09 ms per token,    19.96 tokens per second)\n",
            "llama_print_timings:       total time =   16944.62 ms\n",
            "Output generated in 17.52 seconds (16.27 tokens/s, 285 tokens, context 34, seed 1815085632)\n",
            "2023-12-13 06:38:09 INFO:\u001b[32mDeleted logs/instruct/20231213-06-36-49.json.\u001b[0m\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     600.53 ms\n",
            "llama_print_timings:      sample time =     500.50 ms /   700 runs   (    0.72 ms per token,  1398.60 tokens per second)\n",
            "llama_print_timings: prompt eval time =     387.76 ms /    39 tokens (    9.94 ms per token,   100.58 tokens per second)\n",
            "llama_print_timings:        eval time =   51175.60 ms /   699 runs   (   73.21 ms per token,    13.66 tokens per second)\n",
            "llama_print_timings:       total time =   60433.46 ms\n",
            "Output generated in 61.02 seconds (11.46 tokens/s, 699 tokens, context 43, seed 1404804818)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     600.53 ms\n",
            "llama_print_timings:      sample time =     252.04 ms /   374 runs   (    0.67 ms per token,  1483.91 tokens per second)\n",
            "llama_print_timings: prompt eval time =    6684.94 ms /   726 tokens (    9.21 ms per token,   108.60 tokens per second)\n",
            "llama_print_timings:        eval time =   41640.22 ms /   373 runs   (  111.64 ms per token,     8.96 tokens per second)\n",
            "llama_print_timings:       total time =   53246.65 ms\n",
            "Output generated in 53.84 seconds (6.93 tokens/s, 373 tokens, context 770, seed 1602485284)\n",
            "Llama.generate: prefix-match hit\n",
            "Output generated in 102.72 seconds (6.28 tokens/s, 645 tokens, context 1158, seed 407179957)\n",
            "2023-12-13 06:43:18 INFO:\u001b[32mDeleted logs/instruct/20231213-06-38-11.json.\u001b[0m\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     600.53 ms\n",
            "llama_print_timings:      sample time =      96.38 ms /   131 runs   (    0.74 ms per token,  1359.20 tokens per second)\n",
            "llama_print_timings: prompt eval time =     534.44 ms /    26 tokens (   20.56 ms per token,    48.65 tokens per second)\n",
            "llama_print_timings:        eval time =    6637.30 ms /   130 runs   (   51.06 ms per token,    19.59 tokens per second)\n",
            "llama_print_timings:       total time =    8429.27 ms\n",
            "Output generated in 9.01 seconds (14.43 tokens/s, 130 tokens, context 30, seed 2072458957)\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "!apt-get -y install -qq aria2\n",
        "\n",
        "!git clone -b V20231211 https://github.com/Troyanovsky/text-generation-webui\n",
        "%cd /content/text-generation-webui\n",
        "!pip install -r requirements.txt\n",
        "!pip install -U gradio==3.50.2\n",
        "\n",
        "!pip uninstall -y llama-cpp-python -y\n",
        "!CMAKE_ARGS=\"-DLLAMA_CUBLAS=on\" FORCE_CMAKE=1 pip install llama-cpp-python --no-cache-dir\n",
        "\n",
        "!pip uninstall flash-attn -y\n",
        "!pip install --no-build-isolation flash-attn==2.3.4\n",
        "\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GGUF/resolve/main/mistral-7b-instruct-v0.2.Q5_K_M.gguf?download=true -d /content/text-generation-webui/models/ -o mistral-7b-instruct-v0.2.Q5_K_M.gguf\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --n-gpu-layers 1000000000 --model mistral-7b-instruct-v0.2.Q5_K_M.gguf"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyM52rrE/+AR/IOd55ACQIsy",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}