EXAONE_3_5_7_8B_Instruct_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/EXAONE_3_5_7_8B_Instruct_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": [
        "## EXAONE-3.5-7.8B-Instruct-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. Click the gradio link at the bottom\n",
        "3. Template:\n",
        "```\n",
        "{% for message in messages %}{% if loop.first and message['role'] != 'system' %}{{ '[|system|][|endofturn|]\n",
        "' }}{% endif %}{{ '[|' + message['role'] + '|]' + message['content'] }}{% if message['role'] == 'user' %}{{ '\n",
        "' }}{% else %}{{ '[|endofturn|]\n",
        "' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '[|assistant|]' }}{% endif %}\n",
        "```\n",
        "\n",
        "\n",
        "Quantized model: https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct-GGUF\n",
        "\n",
        "Original model: https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct\n",
        "\n",
        "Want to try other local LLMs? Check out this repo: https://github.com/Troyanovsky/Local-LLM-Comparison-Colab-UI/"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "042502cb-a090-4cb7-8d99-dc14e1df699c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n",
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            "Processing triggers for man-db (2.10.2-1) ...\n",
            "Processing triggers for libc-bin (2.35-0ubuntu3.4) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/libumf.so.0 is not a symbolic link\n",
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            "\n",
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            "\u001b[?25hCollecting triton==2.2.0 (from torch==2.2.2)\n",
            "  Downloading https://download.pytorch.org/whl/triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (167.9 MB)\n",
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            "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchvision==0.17.2) (1.26.4)\n",
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            "Installing collected packages: triton, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparse-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusolver-cu12, nvidia-cudnn-cu12, torch, torchvision, torchaudio\n",
            "  Attempting uninstall: nvidia-nccl-cu12\n",
            "    Found existing installation: nvidia-nccl-cu12 2.23.4\n",
            "    Uninstalling nvidia-nccl-cu12-2.23.4:\n",
            "      Successfully uninstalled nvidia-nccl-cu12-2.23.4\n",
            "  Attempting uninstall: nvidia-cusparse-cu12\n",
            "    Found existing installation: nvidia-cusparse-cu12 12.5.4.2\n",
            "    Uninstalling nvidia-cusparse-cu12-12.5.4.2:\n",
            "      Successfully uninstalled nvidia-cusparse-cu12-12.5.4.2\n",
            "  Attempting uninstall: nvidia-curand-cu12\n",
            "    Found existing installation: nvidia-curand-cu12 10.3.7.77\n",
            "    Uninstalling nvidia-curand-cu12-10.3.7.77:\n",
            "      Successfully uninstalled nvidia-curand-cu12-10.3.7.77\n",
            "  Attempting uninstall: nvidia-cufft-cu12\n",
            "    Found existing installation: nvidia-cufft-cu12 11.3.0.4\n",
            "    Uninstalling nvidia-cufft-cu12-11.3.0.4:\n",
            "      Successfully uninstalled nvidia-cufft-cu12-11.3.0.4\n",
            "  Attempting uninstall: nvidia-cuda-runtime-cu12\n",
            "    Found existing installation: nvidia-cuda-runtime-cu12 12.6.77\n",
            "    Uninstalling nvidia-cuda-runtime-cu12-12.6.77:\n",
            "      Successfully uninstalled nvidia-cuda-runtime-cu12-12.6.77\n",
            "  Attempting uninstall: nvidia-cuda-cupti-cu12\n",
            "    Found existing installation: nvidia-cuda-cupti-cu12 12.6.80\n",
            "    Uninstalling nvidia-cuda-cupti-cu12-12.6.80:\n",
            "      Successfully uninstalled nvidia-cuda-cupti-cu12-12.6.80\n",
            "  Attempting uninstall: nvidia-cublas-cu12\n",
            "    Found existing installation: nvidia-cublas-cu12 12.6.4.1\n",
            "    Uninstalling nvidia-cublas-cu12-12.6.4.1:\n",
            "      Successfully uninstalled nvidia-cublas-cu12-12.6.4.1\n",
            "  Attempting uninstall: nvidia-cusolver-cu12\n",
            "    Found existing installation: nvidia-cusolver-cu12 11.7.1.2\n",
            "    Uninstalling nvidia-cusolver-cu12-11.7.1.2:\n",
            "      Successfully uninstalled nvidia-cusolver-cu12-11.7.1.2\n",
            "  Attempting uninstall: nvidia-cudnn-cu12\n",
            "    Found existing installation: nvidia-cudnn-cu12 9.6.0.74\n",
            "    Uninstalling nvidia-cudnn-cu12-9.6.0.74:\n",
            "      Successfully uninstalled nvidia-cudnn-cu12-9.6.0.74\n",
            "  Attempting uninstall: torch\n",
            "    Found existing installation: torch 2.5.1+cu121\n",
            "    Uninstalling torch-2.5.1+cu121:\n",
            "      Successfully uninstalled torch-2.5.1+cu121\n",
            "  Attempting uninstall: torchvision\n",
            "    Found existing installation: torchvision 0.20.1+cu121\n",
            "    Uninstalling torchvision-0.20.1+cu121:\n",
            "      Successfully uninstalled torchvision-0.20.1+cu121\n",
            "  Attempting uninstall: torchaudio\n",
            "    Found existing installation: torchaudio 2.5.1+cu121\n",
            "    Uninstalling torchaudio-2.5.1+cu121:\n",
            "      Successfully uninstalled torchaudio-2.5.1+cu121\n",
            "Successfully installed nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.19.3 nvidia-nvtx-cu12-12.1.105 torch-2.2.2+cu121 torchaudio-2.2.2+cu121 torchvision-0.17.2+cu121 triton-2.2.0\n",
            "Cloning into 'text-generation-webui'...\n",
            "remote: Enumerating objects: 19301, done.\u001b[K\n",
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            "remote: Total 19301 (delta 194), reused 201 (delta 140), pack-reused 19026 (from 1)\u001b[K\n",
            "Receiving objects: 100% (19301/19301), 27.94 MiB | 8.35 MiB/s, done.\n",
            "Resolving deltas: 100% (13717/13717), done.\n",
            "Note: switching to 'cc8c7ed2093cbc747e7032420eae14b5b3c30311'.\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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            "  Downloading https://github.com/Dao-AILab/flash-attention/releases/download/v2.6.3/flash_attn-2.6.3+cu123torch2.4cxx11abiFALSE-cp310-cp310-linux_x86_64.whl (187.3 MB)\n",
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            "\u001b[?25hDownloading websockets-11.0.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (129 kB)\n",
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            "\u001b[?25hDownloading fastparquet-2024.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n",
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            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m422.9/422.9 kB\u001b[0m \u001b[31m34.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)\n",
            "Downloading xxhash-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (194 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m194.1/194.1 kB\u001b[0m \u001b[31m18.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading cramjam-2.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.4/2.4 MB\u001b[0m \u001b[31m84.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: pydub, xxhash, websockets, uvicorn, tomlkit, semantic-version, ruff, python-multipart, pydantic-core, Pillow, ninja, markupsafe, llvmlite, fsspec, ffmpy, diskcache, dill, cramjam, colorama, aiofiles, tiktoken, starlette, SpeechRecognition, pydantic, numba, multiprocess, sse-starlette, llama-cpp-python-cuda-tensorcores, llama-cpp-python-cuda, llama-cpp-python, gradio-client, fastparquet, fastapi, flask_cloudflared, flash-attn, exllamav2, bitsandbytes, accelerate, peft, gradio, datasets\n",
            "  Attempting uninstall: pydantic-core\n",
            "    Found existing installation: pydantic_core 2.27.1\n",
            "    Uninstalling pydantic_core-2.27.1:\n",
            "      Successfully uninstalled pydantic_core-2.27.1\n",
            "  Attempting uninstall: Pillow\n",
            "    Found existing installation: pillow 11.0.0\n",
            "    Uninstalling pillow-11.0.0:\n",
            "      Successfully uninstalled pillow-11.0.0\n",
            "  Attempting uninstall: markupsafe\n",
            "    Found existing installation: MarkupSafe 3.0.2\n",
            "    Uninstalling MarkupSafe-3.0.2:\n",
            "      Successfully uninstalled MarkupSafe-3.0.2\n",
            "  Attempting uninstall: llvmlite\n",
            "    Found existing installation: llvmlite 0.43.0\n",
            "    Uninstalling llvmlite-0.43.0:\n",
            "      Successfully uninstalled llvmlite-0.43.0\n",
            "  Attempting uninstall: fsspec\n",
            "    Found existing installation: fsspec 2024.10.0\n",
            "    Uninstalling fsspec-2024.10.0:\n",
            "      Successfully uninstalled fsspec-2024.10.0\n",
            "  Attempting uninstall: pydantic\n",
            "    Found existing installation: pydantic 2.10.3\n",
            "    Uninstalling pydantic-2.10.3:\n",
            "      Successfully uninstalled pydantic-2.10.3\n",
            "  Attempting uninstall: numba\n",
            "    Found existing installation: numba 0.60.0\n",
            "    Uninstalling numba-0.60.0:\n",
            "      Successfully uninstalled numba-0.60.0\n",
            "  Attempting uninstall: accelerate\n",
            "    Found existing installation: accelerate 1.1.1\n",
            "    Uninstalling accelerate-1.1.1:\n",
            "      Successfully uninstalled accelerate-1.1.1\n",
            "  Attempting uninstall: peft\n",
            "    Found existing installation: peft 0.13.2\n",
            "    Uninstalling peft-0.13.2:\n",
            "      Successfully uninstalled peft-0.13.2\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",
            "gcsfs 2024.10.0 requires fsspec==2024.10.0, but you have fsspec 2024.9.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed Pillow-10.4.0 SpeechRecognition-3.10.0 accelerate-1.0.1 aiofiles-23.2.1 bitsandbytes-0.44.1 colorama-0.4.6 cramjam-2.9.0 datasets-3.1.0 dill-0.3.8 diskcache-5.6.3 exllamav2-0.2.3+cu121.torch2.4.1 fastapi-0.112.4 fastparquet-2024.11.0 ffmpy-0.4.0 flash-attn-2.6.3 flask_cloudflared-0.0.14 fsspec-2024.9.0 gradio-4.26.0 gradio-client-0.15.1 llama-cpp-python-0.3.1+cpuavx2 llama-cpp-python-cuda-0.3.1+cu121 llama-cpp-python-cuda-tensorcores-0.3.1+cu121 llvmlite-0.42.0 markupsafe-2.1.5 multiprocess-0.70.16 ninja-1.11.1.2 numba-0.59.1 peft-0.12.0 pydantic-2.8.2 pydantic-core-2.20.1 pydub-0.25.1 python-multipart-0.0.19 ruff-0.8.2 semantic-version-2.10.0 sse-starlette-1.6.5 starlette-0.38.6 tiktoken-0.8.0 tomlkit-0.12.0 uvicorn-0.32.1 websockets-11.0.3 xxhash-3.5.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL"
                ]
              },
              "id": "21e3e4759bab4e5db2454513c3d4140c"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "1049db|\u001b[1;32mOK\u001b[0m  |   197MiB/s|/content/text-generation-webui/models//EXAONE-3.5-7.8B-Instruct-Q6_K.gguf\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "\u001b[2;36m04:12:54-525557\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Starting Text generation web UI                                            \n",
            "\u001b[2;36m04:12:54-780797\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Loading \u001b[32m\"EXAONE-3.5-7.8B-Instruct-Q6_K.gguf\"\u001b[0m                               \n",
            "\u001b[2;36m04:12:55-007289\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m llama.cpp weights detected: \u001b[32m\"models/EXAONE-3.5-7.8B-Instruct-Q6_K.gguf\"\u001b[0m    \n",
            "llama_model_loader: loaded meta data with 27 key-value pairs and 292 tensors from models/EXAONE-3.5-7.8B-Instruct-Q6_K.gguf (version GGUF V3 (latest))\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              = exaone\n",
            "llama_model_loader: - kv   1:                               general.type str              = model\n",
            "llama_model_loader: - kv   2:                               general.name str              = EXAONE 3.5 7.8B 32K INST\n",
            "llama_model_loader: - kv   3:                           general.finetune str              = 32k-INST\n",
            "llama_model_loader: - kv   4:                           general.basename str              = EXAONE-3.5\n",
            "llama_model_loader: - kv   5:                         general.size_label str              = 7.8B\n",
            "llama_model_loader: - kv   6:                    exaone.embedding_length u32              = 4096\n",
            "llama_model_loader: - kv   7:                exaone.attention.head_count u32              = 32\n",
            "llama_model_loader: - kv   8:             exaone.attention.head_count_kv u32              = 8\n",
            "llama_model_loader: - kv   9:                      exaone.context_length u32              = 32768\n",
            "llama_model_loader: - kv  10:    exaone.attention.layer_norm_rms_epsilon f32              = 0.000010\n",
            "llama_model_loader: - kv  11:                 exaone.feed_forward_length u32              = 14336\n",
            "llama_model_loader: - kv  12:                         exaone.block_count u32              = 32\n",
            "llama_model_loader: - kv  13:                          general.file_type u32              = 18\n",
            "llama_model_loader: - kv  14:                      exaone.rope.freq_base f32              = 1000000.000000\n",
            "llama_model_loader: - kv  15:                exaone.rope.dimension_count u32              = 128\n",
            "llama_model_loader: - kv  16:                       tokenizer.ggml.model str              = gpt2\n",
            "llama_model_loader: - kv  17:                         tokenizer.ggml.pre str              = exaone\n",
            "llama_model_loader: - kv  18:                      tokenizer.ggml.tokens arr[str,102400]  = [\"[PAD]\", \"[BOS]\", \"[EOS]\", \"[UNK]\", ...\n",
            "llama_model_loader: - kv  19:                  tokenizer.ggml.token_type arr[i32,102400]  = [3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, ...\n",
            "llama_model_loader: - kv  20:                      tokenizer.ggml.merges arr[str,101782]  = [\"t h\", \"Ġ a\", \"Ġ í\", \"i n\", \"Ġ t...\n",
            "llama_model_loader: - kv  21:                tokenizer.ggml.bos_token_id u32              = 1\n",
            "llama_model_loader: - kv  22:                tokenizer.ggml.eos_token_id u32              = 361\n",
            "llama_model_loader: - kv  23:            tokenizer.ggml.unknown_token_id u32              = 3\n",
            "llama_model_loader: - kv  24:            tokenizer.ggml.padding_token_id u32              = 0\n",
            "llama_model_loader: - kv  25:                    tokenizer.chat_template str              = {% for message in messages %}{% if lo...\n",
            "llama_model_loader: - kv  26:               general.quantization_version u32              = 2\n",
            "llama_model_loader: - type  f32:   66 tensors\n",
            "llama_model_loader: - type q6_K:  226 tensors\n",
            "llm_load_vocab: special_eos_id is not in special_eog_ids - the tokenizer config may be incorrect\n",
            "llm_load_vocab: special tokens cache size = 362\n",
            "llm_load_vocab: token to piece cache size = 0.6622 MB\n",
            "llm_load_print_meta: format           = GGUF V3 (latest)\n",
            "llm_load_print_meta: arch             = exaone\n",
            "llm_load_print_meta: vocab type       = BPE\n",
            "llm_load_print_meta: n_vocab          = 102400\n",
            "llm_load_print_meta: n_merges         = 101782\n",
            "llm_load_print_meta: vocab_only       = 0\n",
            "llm_load_print_meta: n_ctx_train      = 32768\n",
            "llm_load_print_meta: n_embd           = 4096\n",
            "llm_load_print_meta: n_layer          = 32\n",
            "llm_load_print_meta: n_head           = 32\n",
            "llm_load_print_meta: n_head_kv        = 8\n",
            "llm_load_print_meta: n_rot            = 128\n",
            "llm_load_print_meta: n_swa            = 0\n",
            "llm_load_print_meta: n_embd_head_k    = 128\n",
            "llm_load_print_meta: n_embd_head_v    = 128\n",
            "llm_load_print_meta: n_gqa            = 4\n",
            "llm_load_print_meta: n_embd_k_gqa     = 1024\n",
            "llm_load_print_meta: n_embd_v_gqa     = 1024\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: f_logit_scale    = 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: causal attn      = 1\n",
            "llm_load_print_meta: pooling type     = 0\n",
            "llm_load_print_meta: rope type        = 2\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_ctx_orig_yarn  = 32768\n",
            "llm_load_print_meta: rope_finetuned   = unknown\n",
            "llm_load_print_meta: ssm_d_conv       = 0\n",
            "llm_load_print_meta: ssm_d_inner      = 0\n",
            "llm_load_print_meta: ssm_d_state      = 0\n",
            "llm_load_print_meta: ssm_dt_rank      = 0\n",
            "llm_load_print_meta: ssm_dt_b_c_rms   = 0\n",
            "llm_load_print_meta: model type       = 8B\n",
            "llm_load_print_meta: model ftype      = Q6_K\n",
            "llm_load_print_meta: model params     = 7.82 B\n",
            "llm_load_print_meta: model size       = 5.97 GiB (6.56 BPW) \n",
            "llm_load_print_meta: general.name     = EXAONE 3.5 7.8B 32K INST\n",
            "llm_load_print_meta: BOS token        = 1 '[BOS]'\n",
            "llm_load_print_meta: EOS token        = 361 '[|endofturn|]'\n",
            "llm_load_print_meta: UNK token        = 3 '[UNK]'\n",
            "llm_load_print_meta: PAD token        = 0 '[PAD]'\n",
            "llm_load_print_meta: LF token         = 490 'Ä'\n",
            "llm_load_print_meta: EOT token        = 42 '<|endoftext|>'\n",
            "llm_load_print_meta: EOG token        = 42 '<|endoftext|>'\n",
            "llm_load_print_meta: EOG token        = 361 '[|endofturn|]'\n",
            "llm_load_print_meta: max token length = 48\n",
            "ggml_cuda_init: GGML_CUDA_FORCE_MMQ:    yes\n",
            "ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no\n",
            "ggml_cuda_init: found 1 CUDA devices:\n",
            "  Device 0: Tesla T4, compute capability 7.5, VMM: yes\n",
            "llm_load_tensors: ggml ctx size =    0.27 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:        CPU buffer size =   328.12 MiB\n",
            "llm_load_tensors:      CUDA0 buffer size =  5789.15 MiB\n",
            "............................................................................................\n",
            "llama_new_context_with_model: n_ctx      = 2048\n",
            "llama_new_context_with_model: n_batch    = 512\n",
            "llama_new_context_with_model: n_ubatch   = 512\n",
            "llama_new_context_with_model: flash_attn = 0\n",
            "llama_new_context_with_model: freq_base  = 1000000.0\n",
            "llama_new_context_with_model: freq_scale = 1\n",
            "llama_kv_cache_init:      CUDA0 KV buffer size =   256.00 MiB\n",
            "llama_new_context_with_model: KV self size  =  256.00 MiB, K (f16):  128.00 MiB, V (f16):  128.00 MiB\n",
            "llama_new_context_with_model:  CUDA_Host  output buffer size =     0.39 MiB\n",
            "llama_new_context_with_model:      CUDA0 compute buffer size =   208.00 MiB\n",
            "llama_new_context_with_model:  CUDA_Host compute buffer size =    12.01 MiB\n",
            "llama_new_context_with_model: graph nodes  = 1030\n",
            "llama_new_context_with_model: graph splits = 2\n",
            "AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | AVX512_BF16 = 0 | FMA = 1 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | RISCV_VECT = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 | \n",
            "Model metadata: {'tokenizer.chat_template': \"{% for message in messages %}{% if loop.first and message['role'] != 'system' %}{{ '[|system|][|endofturn|]\\n' }}{% endif %}{{ '[|' + message['role'] + '|]' + message['content'] }}{% if message['role'] == 'user' %}{{ '\\n' }}{% else %}{{ '[|endofturn|]\\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '[|assistant|]' }}{% endif %}\", 'tokenizer.ggml.unknown_token_id': '3', 'tokenizer.ggml.eos_token_id': '361', 'tokenizer.ggml.bos_token_id': '1', 'general.quantization_version': '2', 'tokenizer.ggml.model': 'gpt2', 'exaone.rope.dimension_count': '128', 'general.file_type': '18', 'general.architecture': 'exaone', 'exaone.attention.layer_norm_rms_epsilon': '0.000010', 'exaone.feed_forward_length': '14336', 'tokenizer.ggml.padding_token_id': '0', 'exaone.attention.head_count_kv': '8', 'general.basename': 'EXAONE-3.5', 'tokenizer.ggml.pre': 'exaone', 'general.name': 'EXAONE 3.5 7.8B 32K INST', 'general.finetune': '32k-INST', 'general.type': 'model', 'general.size_label': '7.8B', 'exaone.embedding_length': '4096', 'exaone.attention.head_count': '32', 'exaone.rope.freq_base': '1000000.000000', 'exaone.context_length': '32768', 'exaone.block_count': '32'}\n",
            "Available chat formats from metadata: chat_template.default\n",
            "Using gguf chat template: {% for message in messages %}{% if loop.first and message['role'] != 'system' %}{{ '[|system|][|endofturn|]\n",
            "' }}{% endif %}{{ '[|' + message['role'] + '|]' + message['content'] }}{% if message['role'] == 'user' %}{{ '\n",
            "' }}{% else %}{{ '[|endofturn|]\n",
            "' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '[|assistant|]' }}{% endif %}\n",
            "Using chat eos_token: [|endofturn|]\n",
            "Using chat bos_token: [BOS]\n",
            "\u001b[2;36m04:13:17-688571\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Loaded \u001b[32m\"EXAONE-3.5-7.8B-Instruct-Q6_K.gguf\"\u001b[0m in \u001b[1;36m22.91\u001b[0m seconds.              \n",
            "\u001b[2;36m04:13:17-689901\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m LOADER: \u001b[32m\"llama.cpp\"\u001b[0m                                                        \n",
            "\u001b[2;36m04:13:17-690866\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m TRUNCATION LENGTH: \u001b[1;36m2048\u001b[0m                                                    \n",
            "\u001b[2;36m04:13:17-691831\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m INSTRUCTION TEMPLATE: \u001b[32m\"Custom \u001b[0m\u001b[32m(\u001b[0m\u001b[32mobtained from model metadata\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\"\u001b[0m              \n",
            "\n",
            "Running on local URL:  http://127.0.0.1:7860\n",
            "\n",
            "Running on public URL: https://dd1ce7b603fadc9194.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",
            "llama_perf_context_print:        load time =     500.94 ms\n",
            "llama_perf_context_print: prompt eval time =       0.00 ms /    35 tokens (    0.00 ms per token,      inf tokens per second)\n",
            "llama_perf_context_print:        eval time =       0.00 ms /   195 runs   (    0.00 ms per token,      inf tokens per second)\n",
            "llama_perf_context_print:       total time =    8820.50 ms /   230 tokens\n",
            "Output generated in 9.51 seconds (20.51 tokens/s, 195 tokens, context 40, seed 568404107)\n",
            "\u001b[2;36m04:16:32-984653\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Deleted \u001b[32m\"logs/instruct/20241209-04-14-30.json\"\u001b[0m.                            \n",
            "Llama.generate: 12 prefix-match hit, remaining 25 prompt tokens to eval\n",
            "llama_perf_context_print:        load time =     500.94 ms\n",
            "llama_perf_context_print: prompt eval time =       0.00 ms /    25 tokens (    0.00 ms per token,      inf tokens per second)\n",
            "llama_perf_context_print:        eval time =       0.00 ms /   388 runs   (    0.00 ms per token,      inf tokens per second)\n",
            "llama_perf_context_print:       total time =   16768.01 ms /   413 tokens\n",
            "Output generated in 17.40 seconds (22.30 tokens/s, 388 tokens, context 42, seed 1441673368)\n",
            "\u001b[2;36m04:17:09-746318\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Deleted \u001b[32m\"logs/instruct/20241209-04-16-32.json\"\u001b[0m.                            \n",
            "Llama.generate: 12 prefix-match hit, remaining 31 prompt tokens to eval\n",
            "llama_perf_context_print:        load time =     500.94 ms\n",
            "llama_perf_context_print: prompt eval time =       0.00 ms /    31 tokens (    0.00 ms per token,      inf tokens per second)\n",
            "llama_perf_context_print:        eval time =       0.00 ms /   103 runs   (    0.00 ms per token,      inf tokens per second)\n",
            "llama_perf_context_print:       total time =    4703.53 ms /   134 tokens\n",
            "Output generated in 5.20 seconds (19.79 tokens/s, 103 tokens, context 48, seed 519126460)\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "!apt-get -y install -qq aria2\n",
        "!pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/cu121\n",
        "\n",
        "!git clone -b V20241028 https://github.com/Troyanovsky/text-generation-webui\n",
        "%cd /content/text-generation-webui\n",
        "!pip install -r requirements.txt\n",
        "\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct-GGUF/resolve/main/EXAONE-3.5-7.8B-Instruct-Q6_K.gguf?download=true -d /content/text-generation-webui/models/ -o EXAONE-3.5-7.8B-Instruct-Q6_K.gguf\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --n-gpu-layers 100000 --model EXAONE-3.5-7.8B-Instruct-Q6_K.gguf --n_ctx 2048"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNlDYuxC0co/Cc6xmrpmfqh",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}