Panda_7B_v0_1_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/Panda_7B_v0_1_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": [
        "## Panda-7B-v0.1-GGUF WebUI\n",
        "\n",
        "1. Run the following cell, takes ~5 min\n",
        "(You may need to confirm to proceed by typing \"Y\")\n",
        "2. Pick the version you need from one of the last two cells and only run that cell.\n",
        "3. Click the gradio link at the bottom\n",
        "4. In Chat settings - Instruction Template: Unknown\n",
        "\n",
        "```\n",
        "{prompt}\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D-MiHp_bveP6",
        "outputId": "a04e4da6-650c-483c-a34d-843c6a9e5017"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/text-generation-webui\n",
            "\u001b[2;36m10:43:46-207364\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Starting Text generation web UI                                            \n",
            "\u001b[2;36m10:43:46-279864\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Loading panda-7b-v0.\u001b[1;36m1.\u001b[0mQ5_K_M.gguf                                          \n",
            "\u001b[2;36m10:43:46-405687\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m llama.cpp weights detected: models/panda-7b-v0.\u001b[1;36m1.\u001b[0mQ5_K_M.gguf               \n",
            "ggml_init_cublas: GGML_CUDA_FORCE_MMQ:   yes\n",
            "ggml_init_cublas: CUDA_USE_TENSOR_CORES: no\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 23 key-value pairs and 291 tensors from models/panda-7b-v0.1.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_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor    2:            blk.0.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor    3:            blk.0.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor    4:              blk.0.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor    5:            blk.0.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor    6:              blk.0.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor    7:         blk.0.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor    8:              blk.0.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor    9:              blk.0.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   10:           blk.1.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   11:            blk.1.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   12:            blk.1.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   13:              blk.1.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   14:            blk.1.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   15:              blk.1.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   16:         blk.1.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   17:              blk.1.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   18:              blk.1.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   19:           blk.10.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   20:             blk.10.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   21:             blk.10.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   22:        blk.10.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   23:             blk.10.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   24:             blk.10.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   25:           blk.2.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   26:            blk.2.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   27:            blk.2.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   28:              blk.2.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   29:            blk.2.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   30:              blk.2.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   31:         blk.2.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   32:              blk.2.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   33:              blk.2.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   34:           blk.3.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   35:            blk.3.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   36:            blk.3.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   37:              blk.3.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   38:            blk.3.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   39:              blk.3.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   40:         blk.3.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   41:              blk.3.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   42:              blk.3.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   43:           blk.4.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   44:            blk.4.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   45:            blk.4.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   46:              blk.4.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   47:            blk.4.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   48:              blk.4.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   49:         blk.4.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   50:              blk.4.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   51:              blk.4.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   52:           blk.5.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   53:            blk.5.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   54:            blk.5.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   55:              blk.5.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   56:            blk.5.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   57:              blk.5.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   58:         blk.5.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   59:              blk.5.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   60:              blk.5.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   61:           blk.6.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   62:            blk.6.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   63:            blk.6.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   64:              blk.6.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   65:            blk.6.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   66:              blk.6.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   67:         blk.6.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   68:              blk.6.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   69:              blk.6.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   70:           blk.7.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   71:            blk.7.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   72:            blk.7.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   73:              blk.7.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   74:            blk.7.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   75:              blk.7.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   76:         blk.7.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   77:              blk.7.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   78:              blk.7.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   79:           blk.8.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   80:            blk.8.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   81:            blk.8.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   82:              blk.8.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   83:            blk.8.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   84:              blk.8.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   85:         blk.8.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   86:              blk.8.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   87:              blk.8.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   88:           blk.9.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   89:            blk.9.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   90:            blk.9.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   91:              blk.9.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor   92:            blk.9.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   93:              blk.9.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   94:         blk.9.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   95:              blk.9.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor   96:              blk.9.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor   97:          blk.10.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor   98:           blk.10.ffn_down.weight q5_K     [ 14336,  4096,     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_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  101:           blk.11.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  102:           blk.11.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  103:             blk.11.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  104:           blk.11.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  105:             blk.11.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  106:        blk.11.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  107:             blk.11.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  108:             blk.11.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  109:          blk.12.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  110:           blk.12.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  111:           blk.12.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  112:             blk.12.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  113:           blk.12.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  114:             blk.12.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  115:        blk.12.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  116:             blk.12.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  117:             blk.12.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  118:          blk.13.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  119:           blk.13.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  120:           blk.13.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  121:             blk.13.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  122:           blk.13.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  123:             blk.13.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  124:        blk.13.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  125:             blk.13.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  126:             blk.13.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  127:          blk.14.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  128:           blk.14.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  129:           blk.14.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  130:             blk.14.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  131:           blk.14.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  132:             blk.14.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  133:        blk.14.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  134:             blk.14.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  135:             blk.14.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  136:          blk.15.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  137:           blk.15.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  138:           blk.15.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  139:             blk.15.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  140:           blk.15.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  141:             blk.15.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  142:        blk.15.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  143:             blk.15.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  144:             blk.15.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  145:          blk.16.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  146:           blk.16.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  147:           blk.16.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  148:             blk.16.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  149:           blk.16.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  150:             blk.16.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  151:        blk.16.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  152:             blk.16.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  153:             blk.16.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  154:          blk.17.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  155:           blk.17.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  156:           blk.17.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  157:             blk.17.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  158:           blk.17.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  159:             blk.17.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  160:        blk.17.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  161:             blk.17.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  162:             blk.17.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  163:          blk.18.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  164:           blk.18.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  165:           blk.18.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  166:             blk.18.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  167:           blk.18.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  168:             blk.18.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  169:        blk.18.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  170:             blk.18.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  171:             blk.18.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  172:          blk.19.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  173:           blk.19.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  174:           blk.19.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  175:             blk.19.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  176:           blk.19.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  177:             blk.19.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  178:        blk.19.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  179:             blk.19.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  180:             blk.19.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  181:          blk.20.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  182:           blk.20.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  183:           blk.20.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  184:             blk.20.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  185:           blk.20.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  186:             blk.20.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  187:        blk.20.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  188:             blk.20.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  189:             blk.20.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  190:          blk.21.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  191:           blk.21.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  192:           blk.21.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  193:             blk.21.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  194:           blk.21.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  195:             blk.21.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  196:        blk.21.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  197:             blk.21.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  198:             blk.21.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  199:             blk.22.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  200:        blk.22.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  201:             blk.22.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  202:             blk.22.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  203:                    output.weight q6_K     [  4096, 32000,     1,     1 ]\n",
            "llama_model_loader: - tensor  204:          blk.22.attn_norm.weight f32      [  4096,     1,     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.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  207:             blk.22.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  208:           blk.22.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  209:          blk.23.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  210:           blk.23.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  211:           blk.23.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  212:             blk.23.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  213:           blk.23.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  214:             blk.23.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  215:        blk.23.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  216:             blk.23.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  217:             blk.23.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  218:          blk.24.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  219:           blk.24.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  220:           blk.24.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  221:             blk.24.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  222:           blk.24.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  223:             blk.24.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  224:        blk.24.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  225:             blk.24.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  226:             blk.24.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  227:          blk.25.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  228:           blk.25.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  229:           blk.25.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  230:             blk.25.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  231:           blk.25.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  232:             blk.25.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  233:        blk.25.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  234:             blk.25.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  235:             blk.25.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  236:          blk.26.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  237:           blk.26.ffn_down.weight q5_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  238:           blk.26.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  239:             blk.26.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  240:           blk.26.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  241:             blk.26.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  242:        blk.26.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  243:             blk.26.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  244:             blk.26.attn_v.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  245:          blk.27.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  246:           blk.27.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  247:           blk.27.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  248:             blk.27.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  249:           blk.27.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  250:             blk.27.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  251:        blk.27.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  252:             blk.27.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  253:             blk.27.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  254:          blk.28.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  255:           blk.28.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  256:           blk.28.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  257:             blk.28.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  258:           blk.28.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  259:             blk.28.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  260:        blk.28.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  261:             blk.28.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  262:             blk.28.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  263:          blk.29.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  264:           blk.29.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  265:           blk.29.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  266:             blk.29.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  267:           blk.29.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  268:             blk.29.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  269:        blk.29.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  270:             blk.29.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  271:             blk.29.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  272:          blk.30.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  273:           blk.30.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  274:           blk.30.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  275:             blk.30.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  276:           blk.30.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  277:             blk.30.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  278:        blk.30.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  279:             blk.30.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  280:             blk.30.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  281:          blk.31.attn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  282:           blk.31.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  283:           blk.31.ffn_gate.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  284:             blk.31.ffn_up.weight q5_K     [  4096, 14336,     1,     1 ]\n",
            "llama_model_loader: - tensor  285:           blk.31.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\n",
            "llama_model_loader: - tensor  286:             blk.31.attn_k.weight q5_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  287:        blk.31.attn_output.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  288:             blk.31.attn_q.weight q5_K     [  4096,  4096,     1,     1 ]\n",
            "llama_model_loader: - tensor  289:             blk.31.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]\n",
            "llama_model_loader: - tensor  290:               output_norm.weight f32      [  4096,     1,     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              = neuralnovel_panda-7b-v0.1\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.padding_token_id u32              = 0\n",
            "llama_model_loader: - kv  19:               tokenizer.ggml.add_bos_token bool             = true\n",
            "llama_model_loader: - kv  20:               tokenizer.ggml.add_eos_token bool             = false\n",
            "llama_model_loader: - kv  21:                    tokenizer.chat_template str              = {{ bos_token }}{% for message in mess...\n",
            "llama_model_loader: - kv  22:               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: n_expert         = 0\n",
            "llm_load_print_meta: n_expert_used    = 0\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      = 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     = neuralnovel_panda-7b-v0.1\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  =   86.05 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_kv_cache_init: VRAM kv self = 4096.00 MB\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 = 2139.19 MiB\n",
            "llama_new_context_with_model: VRAM scratch buffer: 2136.00 MiB\n",
            "llama_new_context_with_model: total VRAM used: 11039.06 MiB (model: 4807.05 MiB, context: 6232.00 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",
            "\u001b[2;36m10:44:08-541152\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m LOADER: llama.cpp                                                          \n",
            "\u001b[2;36m10:44:08-542557\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m TRUNCATION LENGTH: \u001b[1;36m32768\u001b[0m                                                   \n",
            "\u001b[2;36m10:44:08-543574\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m INSTRUCTION TEMPLATE: Custom \u001b[1m(\u001b[0mobtained from model metadata\u001b[1m)\u001b[0m                \n",
            "\u001b[2;36m10:44:08-544686\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Loaded the model in \u001b[1;36m22.26\u001b[0m seconds.                                         \n",
            "\u001b[2;36m10:44:08-545716\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Loading the extension \u001b[32m\"gallery\"\u001b[0m                                            \n",
            "Running on local URL:  http://127.0.0.1:7860\n",
            "Running on public URL: https://94c692a8a60a873dfa.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 =     478.39 ms\n",
            "llama_print_timings:      sample time =      55.67 ms /    94 runs   (    0.59 ms per token,  1688.49 tokens per second)\n",
            "llama_print_timings: prompt eval time =     477.93 ms /    52 tokens (    9.19 ms per token,   108.80 tokens per second)\n",
            "llama_print_timings:        eval time =    2628.54 ms /    93 runs   (   28.26 ms per token,    35.38 tokens per second)\n",
            "llama_print_timings:       total time =    3530.26 ms\n",
            "Output generated in 4.01 seconds (23.21 tokens/s, 93 tokens, context 52, seed 451928400)\n",
            "\u001b[2;36m10:47:51-302405\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Deleted logs/instruct/\u001b[1;36m20240112\u001b[0m-\u001b[1;36m10\u001b[0m-\u001b[1;36m45-35.j\u001b[0mson.                              \n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     478.39 ms\n",
            "llama_print_timings:      sample time =      86.35 ms /   122 runs   (    0.71 ms per token,  1412.79 tokens per second)\n",
            "llama_print_timings: prompt eval time =     322.48 ms /    26 tokens (   12.40 ms per token,    80.63 tokens per second)\n",
            "llama_print_timings:        eval time =    3455.88 ms /   121 runs   (   28.56 ms per token,    35.01 tokens per second)\n",
            "llama_print_timings:       total time =    4458.47 ms\n",
            "Output generated in 4.93 seconds (24.53 tokens/s, 121 tokens, context 54, seed 1171454418)\n",
            "\u001b[2;36m10:49:11-387781\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Deleted logs/instruct/\u001b[1;36m20240112\u001b[0m-\u001b[1;36m10\u001b[0m-\u001b[1;36m47-53.j\u001b[0mson.                              \n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     478.39 ms\n",
            "llama_print_timings:      sample time =     311.85 ms /   512 runs   (    0.61 ms per token,  1641.84 tokens per second)\n",
            "llama_print_timings: prompt eval time =     288.21 ms /    32 tokens (    9.01 ms per token,   111.03 tokens per second)\n",
            "llama_print_timings:        eval time =   15271.08 ms /   511 runs   (   29.88 ms per token,    33.46 tokens per second)\n",
            "llama_print_timings:       total time =   18187.13 ms\n",
            "Output generated in 18.63 seconds (27.48 tokens/s, 512 tokens, context 60, seed 446584649)\n",
            "\u001b[2;36m10:50:34-329573\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Deleted logs/instruct/\u001b[1;36m20240112\u001b[0m-\u001b[1;36m10\u001b[0m-\u001b[1;36m49-13.j\u001b[0mson.                              \n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =     478.39 ms\n",
            "llama_print_timings:      sample time =     255.23 ms /   381 runs   (    0.67 ms per token,  1492.75 tokens per second)\n",
            "llama_print_timings: prompt eval time =     319.41 ms /    24 tokens (   13.31 ms per token,    75.14 tokens per second)\n",
            "llama_print_timings:        eval time =   11422.27 ms /   380 runs   (   30.06 ms per token,    33.27 tokens per second)\n",
            "llama_print_timings:       total time =   13719.89 ms\n",
            "Output generated in 14.19 seconds (26.77 tokens/s, 380 tokens, context 52, seed 1715293576)\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "!apt-get -y install -qq aria2\n",
        "\n",
        "!git clone -b V20231221 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/Panda-7B-v0.1-GGUF/resolve/main/panda-7b-v0.1.Q5_K_M.gguf?download=true -d /content/text-generation-webui/models/ -o panda-7b-v0.1.Q5_K_M.gguf\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --n-gpu-layers 1000000 --model panda-7b-v0.1.Q5_K_M.gguf"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyN8oCIqpuHzBU/2DVmSVUlb",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}