CodeLlama_13B_Instruct.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/CodeLlama_13B_Instruct.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": [
        "## CodeLlama-13B-Instruct 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: CodeLlama\n",
        "\n",
        "```\n",
        "[INST] Write code to solve the following coding problem that obeys the constraints and passes the example test cases. Please wrap your code answer using ```:\n",
        "{prompt}\n",
        "[/INST]\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "8dbc8184-5635-4eb4-d80a-2e7de32f96cc"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n",
            "Selecting previously unselected package libc-ares2:amd64.\n",
            "(Reading database ... 120831 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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            "Selecting previously unselected package libaria2-0:amd64.\n",
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            "Preparing to unpack .../aria2_1.36.0-1_amd64.deb ...\n",
            "Unpacking aria2 (1.36.0-1) ...\n",
            "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 (2.35-0ubuntu3.1) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind.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/libtbbbind_2_0.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_5.so.3 is not a symbolic link\n",
            "\n",
            "Cloning into 'text-generation-webui'...\n",
            "remote: Enumerating objects: 10842, done.\u001b[K\n",
            "remote: Counting objects: 100% (2878/2878), done.\u001b[K\n",
            "remote: Compressing objects: 100% (432/432), done.\u001b[K\n",
            "remote: Total 10842 (delta 2600), reused 2559 (delta 2443), pack-reused 7964\u001b[K\n",
            "Receiving objects: 100% (10842/10842), 3.55 MiB | 22.03 MiB/s, done.\n",
            "Resolving deltas: 100% (7395/7395), done.\n",
            "Note: switching to '7d3a0b5387d4de8bb9412d285092fb232ed83b19'.\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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            "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=411868 sha256=83ebcabcd406eecf02c44f555f86a8863f452ab91c192e7daa4329a208bbed65\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=d5421d20bed48882baadb09494cb9e6bae048fb060eb9c18fa8d8ab71cea885f\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=328bf9c42a6c1965f35a5eccb8fda49f19bca3263a2bee4df7e2091e5c5455ad\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-5.6.1 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-1.29.2 setproctitle-1.3.2 smmap-5.0.0 starlette-0.27.0 tokenizers-0.13.3 transformers-4.32.0 uvicorn-0.23.2 wandb-0.15.8 websockets-11.0.3 xxhash-3.3.0\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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            "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-0.1.81.tar.gz (1.8 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 MB\u001b[0m \u001b[31m16.6 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) (5.6.1)\n",
            "Building wheels for collected packages: llama-cpp-python\n",
            "  Building wheel for llama-cpp-python (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for llama-cpp-python: filename=llama_cpp_python-0.1.81-cp310-cp310-linux_x86_64.whl size=6163681 sha256=4d2ca4fc39f7dded320b95ca814d537924bb173f45eb4035b9e5c5386e39309a\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-gszjebv0/wheels/99/27/c0/ccda486d8dc16ebb8c61d9d7959380eced2cb3279cf0145dfe\n",
            "Successfully built llama-cpp-python\n",
            "Installing collected packages: llama-cpp-python\n",
            "Successfully installed llama-cpp-python-0.1.81\n",
            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "51620e|\u001b[1;32mOK\u001b[0m  |   220MiB/s|/content/text-generation-webui/models//codellama-13b-instruct.Q5_K_M.gguf\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "2023-08-28 08:23:04 WARNING:\u001b[33mThe gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.\u001b[0m\n",
            "2023-08-28 08:23:13.113395: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "2023-08-28 08:23:14 INFO:\u001b[32mLoading codellama-13b-instruct.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",
            "2023-08-28 08:23:25 INFO:\u001b[32mllama.cpp weights detected: models/codellama-13b-instruct.Q5_K_M.gguf\u001b[0m\n",
            "2023-08-28 08:23:25 INFO:\u001b[32mCache capacity is 0 bytes\u001b[0m\n",
            "llama_model_loader: loaded meta data with 17 key-value pairs and 363 tensors from models/codellama-13b-instruct.Q5_K_M.gguf (version GGUF V1 (support until nov 2023))\n",
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            "llama_model_loader: - tensor   99:             blk.10.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  100:          blk.10.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  101:           blk.10.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  102:             blk.11.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  103:             blk.11.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  104:             blk.11.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  105:        blk.11.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  106:           blk.11.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  107:           blk.11.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  108:             blk.11.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  109:          blk.11.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  110:           blk.11.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  111:             blk.12.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  113:             blk.12.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  114:        blk.12.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  115:           blk.12.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  116:           blk.12.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  117:             blk.12.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  118:          blk.12.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  120:             blk.13.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  123:        blk.13.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  124:           blk.13.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  125:           blk.13.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  127:          blk.13.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  129:             blk.14.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  132:        blk.14.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  133:           blk.14.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  134:           blk.14.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  135:             blk.14.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  136:          blk.14.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  138:             blk.15.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  140:             blk.15.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  141:        blk.15.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  142:           blk.15.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  143:           blk.15.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  144:             blk.15.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  145:          blk.15.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  147:             blk.16.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  151:           blk.16.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  152:           blk.16.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  153:             blk.16.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  154:          blk.16.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  156:             blk.17.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  160:           blk.17.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  161:           blk.17.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  162:             blk.17.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  163:          blk.17.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  165:             blk.18.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  168:        blk.18.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  169:           blk.18.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  170:           blk.18.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  171:             blk.18.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  172:          blk.18.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  174:             blk.19.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  178:           blk.19.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  179:           blk.19.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  180:             blk.19.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  181:          blk.19.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  183:             blk.20.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  186:        blk.20.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  187:           blk.20.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  188:           blk.20.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  189:             blk.20.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  190:          blk.20.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  192:             blk.21.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  196:           blk.21.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  197:           blk.21.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  198:             blk.21.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  199:          blk.21.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  201:             blk.22.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  205:           blk.22.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  206:           blk.22.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  208:          blk.22.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  210:             blk.23.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  212:             blk.23.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  213:        blk.23.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  214:           blk.23.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  215:           blk.23.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  216:             blk.23.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  217:          blk.23.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  219:             blk.24.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  222:        blk.24.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  223:           blk.24.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  224:           blk.24.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  225:             blk.24.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  226:          blk.24.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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            "llama_model_loader: - tensor  228:             blk.25.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  230:             blk.25.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  231:        blk.25.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  232:           blk.25.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  233:           blk.25.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  234:             blk.25.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  235:          blk.25.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  236:           blk.25.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  237:             blk.26.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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            "llama_model_loader: - tensor  239:             blk.26.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  240:        blk.26.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  241:           blk.26.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  242:           blk.26.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  243:             blk.26.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  244:          blk.26.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  245:           blk.26.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  246:             blk.27.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  247:             blk.27.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  248:             blk.27.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  249:        blk.27.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  250:           blk.27.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  251:           blk.27.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  252:             blk.27.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  253:          blk.27.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  254:           blk.27.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  255:             blk.28.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  256:             blk.28.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  257:             blk.28.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  258:        blk.28.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  259:           blk.28.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  260:           blk.28.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  261:             blk.28.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  262:          blk.28.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  263:           blk.28.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  264:             blk.29.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  265:             blk.29.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  266:             blk.29.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  267:        blk.29.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  268:           blk.29.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  269:           blk.29.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  270:             blk.29.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  271:          blk.29.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  272:           blk.29.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  273:             blk.30.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  274:             blk.30.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  275:             blk.30.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  276:        blk.30.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  277:           blk.30.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  278:           blk.30.ffn_down.weight q5_K     [ 13824,  5120,     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.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  281:           blk.30.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  282:             blk.31.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  283:             blk.31.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  284:             blk.31.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  285:        blk.31.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  286:           blk.31.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  287:           blk.31.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  288:             blk.31.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  289:          blk.31.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  290:           blk.31.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  291:             blk.32.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  292:             blk.32.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  293:             blk.32.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  294:        blk.32.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  295:           blk.32.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  296:           blk.32.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  297:             blk.32.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  298:          blk.32.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  299:           blk.32.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  300:             blk.33.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  301:             blk.33.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  302:             blk.33.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  303:        blk.33.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  304:           blk.33.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  305:           blk.33.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  306:             blk.33.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  307:          blk.33.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  308:           blk.33.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  309:             blk.34.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  310:             blk.34.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  311:             blk.34.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  312:        blk.34.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  313:           blk.34.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  314:           blk.34.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  315:             blk.34.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  316:          blk.34.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  317:           blk.34.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  318:             blk.35.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  319:             blk.35.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  320:             blk.35.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  321:        blk.35.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  322:           blk.35.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  323:           blk.35.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  324:             blk.35.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  325:          blk.35.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  326:           blk.35.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  327:             blk.36.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  328:             blk.36.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  329:             blk.36.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  330:        blk.36.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  331:           blk.36.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  332:           blk.36.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  333:             blk.36.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  334:          blk.36.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  335:           blk.36.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  336:             blk.37.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  337:             blk.37.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  338:             blk.37.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  339:        blk.37.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  340:           blk.37.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  341:           blk.37.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  342:             blk.37.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  343:          blk.37.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  344:           blk.37.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  345:             blk.38.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  346:             blk.38.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  347:             blk.38.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  348:        blk.38.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  349:           blk.38.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  350:           blk.38.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  351:             blk.38.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  352:          blk.38.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  353:           blk.38.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  354:             blk.39.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  355:             blk.39.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  356:             blk.39.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  357:        blk.39.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  358:           blk.39.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  359:           blk.39.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
            "llama_model_loader: - tensor  360:             blk.39.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
            "llama_model_loader: - tensor  361:          blk.39.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  362:           blk.39.ffn_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:                       llama.rope.freq_base f32     \n",
            "llama_model_loader: - kv  11:                          general.file_type u32     \n",
            "llama_model_loader: - kv  12:                       tokenizer.ggml.model str     \n",
            "llama_model_loader: - kv  13:                      tokenizer.ggml.tokens arr     \n",
            "llama_model_loader: - kv  14:                      tokenizer.ggml.scores arr     \n",
            "llama_model_loader: - kv  15:                  tokenizer.ggml.token_type arr     \n",
            "llama_model_loader: - kv  16:               general.quantization_version u32     \n",
            "llama_model_loader: - type  f32:   81 tensors\n",
            "llama_model_loader: - type  f16:    1 tensors\n",
            "llama_model_loader: - type q4_0:    1 tensors\n",
            "llama_model_loader: - type q5_K:  240 tensors\n",
            "llama_model_loader: - type q6_K:   40 tensors\n",
            "llm_load_print_meta: format         = GGUF V1 (support until nov 2023)\n",
            "llm_load_print_meta: arch           = llama\n",
            "llm_load_print_meta: vocab type     = SPM\n",
            "llm_load_print_meta: n_vocab        = 32016\n",
            "llm_load_print_meta: n_merges       = 0\n",
            "llm_load_print_meta: n_ctx_train    = 16384\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      = 1000000.0\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   = LLaMA\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  =   88.05 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: 10479 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",
            "2023-08-28 08:24:37 INFO:\u001b[32mLoaded the model in 83.27 seconds.\n",
            "\u001b[0m\n",
            "2023-08-28 08:24:37 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://b4f336207e654e717e.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 =  1437.87 ms\n",
            "llama_print_timings:      sample time =   145.19 ms /   227 runs   (    0.64 ms per token,  1563.50 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1437.77 ms /    73 tokens (   19.70 ms per token,    50.77 tokens per second)\n",
            "llama_print_timings:        eval time = 11408.09 ms /   226 runs   (   50.48 ms per token,    19.81 tokens per second)\n",
            "llama_print_timings:       total time = 14001.20 ms\n",
            "Output generated in 15.02 seconds (15.04 tokens/s, 226 tokens, context 73, seed 1189259321)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1437.87 ms\n",
            "llama_print_timings:      sample time =   514.12 ms /   703 runs   (    0.73 ms per token,  1367.37 tokens per second)\n",
            "llama_print_timings: prompt eval time =   721.36 ms /    32 tokens (   22.54 ms per token,    44.36 tokens per second)\n",
            "llama_print_timings:        eval time = 37348.89 ms /   702 runs   (   53.20 ms per token,    18.80 tokens per second)\n",
            "llama_print_timings:       total time = 43523.75 ms\n",
            "Output generated in 44.32 seconds (15.84 tokens/s, 702 tokens, context 69, seed 1920389749)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1437.87 ms\n",
            "llama_print_timings:      sample time =   375.44 ms /   527 runs   (    0.71 ms per token,  1403.68 tokens per second)\n",
            "llama_print_timings: prompt eval time =   960.12 ms /    35 tokens (   27.43 ms per token,    36.45 tokens per second)\n",
            "llama_print_timings:        eval time = 27979.45 ms /   526 runs   (   53.19 ms per token,    18.80 tokens per second)\n",
            "llama_print_timings:       total time = 32471.30 ms\n",
            "Output generated in 33.28 seconds (15.81 tokens/s, 526 tokens, context 69, seed 1569352725)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1437.87 ms\n",
            "llama_print_timings:      sample time =   251.57 ms /   377 runs   (    0.67 ms per token,  1498.59 tokens per second)\n",
            "llama_print_timings: prompt eval time =   930.50 ms /    33 tokens (   28.20 ms per token,    35.46 tokens per second)\n",
            "llama_print_timings:        eval time = 19824.73 ms /   376 runs   (   52.73 ms per token,    18.97 tokens per second)\n",
            "llama_print_timings:       total time = 22881.57 ms\n",
            "Output generated in 23.67 seconds (15.89 tokens/s, 376 tokens, context 67, seed 1898392643)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1437.87 ms\n",
            "llama_print_timings:      sample time =   325.75 ms /   448 runs   (    0.73 ms per token,  1375.30 tokens per second)\n",
            "llama_print_timings: prompt eval time =   928.47 ms /    38 tokens (   24.43 ms per token,    40.93 tokens per second)\n",
            "llama_print_timings:        eval time = 23739.02 ms /   447 runs   (   53.11 ms per token,    18.83 tokens per second)\n",
            "llama_print_timings:       total time = 28153.43 ms\n",
            "Output generated in 28.91 seconds (15.46 tokens/s, 447 tokens, context 72, seed 1865864602)\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_CUDA=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/CodeLlama-13B-Instruct-GGUF/resolve/main/codellama-13b-instruct.Q5_K_M.gguf -d /content/text-generation-webui/models/ -o codellama-13b-instruct.Q5_K_M.gguf\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --n-gpu-layers 1000000000 --model codellama-13b-instruct.Q5_K_M.gguf"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyO2b0IvS/0tuDRI3EkkzDeX",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}