Luna_AI_Llama2_Uncensored.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/blob/main/Luna_AI_Llama2_Uncensored.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": [
        "## Luna-AI-Llama2-Uncensored 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: User-Assistant\n",
        "```\n",
        "USER: {prompt}\n",
        "ASSISTANT:\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "330cd6cf-39ab-48c3-8770-573a082a372e"
      },
      "outputs": [
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
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            "Cloning into 'text-generation-webui'...\n",
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            "Note: switching to '87926d033d9164a8fc77874bd6eaec72f7bb5b8a'.\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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            "  Running command git clone --filter=blob:none --quiet https://github.com/huggingface/peft /tmp/pip-req-build-2n2epsdc\n",
            "  Running command git rev-parse -q --verify 'sha^03eb378eb914fbee709ff7c86ba5b1d033b89524'\n",
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            "Building wheels for collected packages: llama-cpp-python, peft, ffmpy, pathtools\n",
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            "  Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=3d89b491915f41c6d1d67d52fcf8242e39d3c9de3a6a1369ce80020a5be34f61\n",
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            "  Created wheel for pathtools: filename=pathtools-0.1.2-py3-none-any.whl size=8791 sha256=9ac543566f18fc23d56bc06c2cdddd4a3015c23fc54e42338f315b1632350e3a\n",
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            "Successfully built llama-cpp-python peft ffmpy pathtools\n",
            "Installing collected packages: tokenizers, sentencepiece, safetensors, pydub, pulp, pathtools, ffmpy, bitsandbytes, xxhash, websockets, uc-micro-py, smmap, setproctitle, sentry-sdk, semantic-version, rouge, python-multipart, Pillow, orjson, markdown-it-py, h11, einops, docker-pycreds, diskcache, dill, colorama, aiofiles, uvicorn, starlette, multiprocess, mdit-py-plugins, llama-cpp-python, linkify-it-py, huggingface-hub, httpcore, gitdb, transformers, httpx, GitPython, fastapi, wandb, gradio_client, datasets, gradio, accelerate, peft, flexgen, exllama, auto-gptq\n",
            "  Attempting uninstall: Pillow\n",
            "    Found existing installation: Pillow 8.4.0\n",
            "    Uninstalling Pillow-8.4.0:\n",
            "      Successfully uninstalled Pillow-8.4.0\n",
            "  Attempting uninstall: markdown-it-py\n",
            "    Found existing installation: markdown-it-py 3.0.0\n",
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            "      Successfully uninstalled markdown-it-py-3.0.0\n",
            "Successfully installed GitPython-3.1.32 Pillow-10.0.0 accelerate-0.21.0 aiofiles-23.1.0 auto-gptq-0.3.0+cu117 bitsandbytes-0.40.2 colorama-0.4.6 datasets-2.13.1 dill-0.3.6 diskcache-5.6.1 docker-pycreds-0.4.0 einops-0.6.1 exllama-0.0.7+cu117 fastapi-0.95.2 ffmpy-0.3.1 flexgen-0.1.7 gitdb-4.0.10 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 linkify-it-py-2.0.2 llama-cpp-python-0.1.73 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 multiprocess-0.70.14 orjson-3.9.2 pathtools-0.1.2 peft-0.4.0.dev0 pulp-2.7.0 pydub-0.25.1 python-multipart-0.0.6 rouge-1.0.1 safetensors-0.3.1 semantic-version-2.10.0 sentencepiece-0.1.99 sentry-sdk-1.28.1 setproctitle-1.3.2 smmap-5.0.0 starlette-0.27.0 tokenizers-0.13.3 transformers-4.31.0 uc-micro-py-1.0.2 uvicorn-0.23.1 wandb-0.15.5 websockets-11.0.3 xxhash-3.2.0\n"
          ]
        },
        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
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          },
          "metadata": {},
          "output_type": "display_data"
        },
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          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Collecting llama-cpp-python\n",
            "  Downloading llama_cpp_python-0.1.73.tar.gz (1.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m12.8 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) (1.22.4)\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-0.1.73-cp310-cp310-linux_x86_64.whl size=487288 sha256=f12b04fec81064ccec798997cd7cb5c11a0f98d6a53b881adf1d6c8db460e008\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-4wzzuqut/wheels/69/6a/cb/41fd7c0f7f77613d996b4981a3e9b345d2b416b016786956bc\n",
            "Successfully built llama-cpp-python\n",
            "Installing collected packages: llama-cpp-python\n",
            "Successfully installed llama-cpp-python-0.1.73\n",
            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "1322ef|\u001b[1;32mOK\u001b[0m  |   190MiB/s|/content/text-generation-webui/models//luna-ai-llama2-uncensored.ggmlv3.q5_K_M.bin\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "2023-07-20 06:36:11 WARNING:\u001b[33mThe gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.\u001b[0m\n",
            "2023-07-20 06:36:15.986760: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "2023-07-20 06:36:17 INFO:\u001b[32mLoading luna-ai-llama2-uncensored.ggmlv3.q5_K_M.bin...\u001b[0m\n",
            "ggml_init_cublas: found 1 CUDA devices:\n",
            "  Device 0: Tesla T4, compute capability 7.5\n",
            "2023-07-20 06:36:29 INFO:\u001b[32mllama.cpp weights detected: models/luna-ai-llama2-uncensored.ggmlv3.q5_K_M.bin\n",
            "\u001b[0m\n",
            "2023-07-20 06:36:29 INFO:\u001b[32mCache capacity is 0 bytes\u001b[0m\n",
            "llama.cpp: loading model from models/luna-ai-llama2-uncensored.ggmlv3.q5_K_M.bin\n",
            "llama_model_load_internal: format     = ggjt v3 (latest)\n",
            "llama_model_load_internal: n_vocab    = 32000\n",
            "llama_model_load_internal: n_ctx      = 2048\n",
            "llama_model_load_internal: n_embd     = 4096\n",
            "llama_model_load_internal: n_mult     = 256\n",
            "llama_model_load_internal: n_head     = 32\n",
            "llama_model_load_internal: n_layer    = 32\n",
            "llama_model_load_internal: n_rot      = 128\n",
            "llama_model_load_internal: freq_base  = 10000.0\n",
            "llama_model_load_internal: freq_scale = 1\n",
            "llama_model_load_internal: ftype      = 17 (mostly Q5_K - Medium)\n",
            "llama_model_load_internal: n_ff       = 11008\n",
            "llama_model_load_internal: model size = 7B\n",
            "llama_model_load_internal: ggml ctx size =    0.08 MB\n",
            "llama_model_load_internal: using CUDA for GPU acceleration\n",
            "llama_model_load_internal: mem required  = 1758.02 MB (+ 1026.00 MB per state)\n",
            "llama_model_load_internal: allocating batch_size x (512 kB + n_ctx x 128 B) = 384 MB VRAM for the scratch buffer\n",
            "llama_model_load_internal: offloading 32 repeating layers to GPU\n",
            "llama_model_load_internal: offloading non-repeating layers to GPU\n",
            "llama_model_load_internal: offloading v cache to GPU\n",
            "llama_model_load_internal: offloading k cache to GPU\n",
            "llama_model_load_internal: offloaded 35/35 layers to GPU\n",
            "llama_model_load_internal: total VRAM used: 5885 MB\n",
            "llama_new_context_with_model: kv self size  = 1024.00 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 | VSX = 0 | \n",
            "2023-07-20 06:36:53 INFO:\u001b[32mLoaded the model in 35.30 seconds.\n",
            "\u001b[0m\n",
            "2023-07-20 06:36:53 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://c7705cae8979041aa6.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =    20.74 ms /    21 runs   (    0.99 ms per token,  1012.63 tokens per second)\n",
            "llama_print_timings: prompt eval time =   604.58 ms /    54 tokens (   11.20 ms per token,    89.32 tokens per second)\n",
            "llama_print_timings:        eval time =   744.17 ms /    20 runs   (   37.21 ms per token,    26.88 tokens per second)\n",
            "llama_print_timings:       total time =  1431.49 ms\n",
            "Output generated in 2.23 seconds (8.97 tokens/s, 20 tokens, context 54, seed 601552177)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =    69.56 ms /    67 runs   (    1.04 ms per token,   963.17 tokens per second)\n",
            "llama_print_timings: prompt eval time =   735.39 ms /    82 tokens (    8.97 ms per token,   111.51 tokens per second)\n",
            "llama_print_timings:        eval time =  2579.03 ms /    66 runs   (   39.08 ms per token,    25.59 tokens per second)\n",
            "llama_print_timings:       total time =  3591.52 ms\n",
            "Output generated in 4.44 seconds (14.86 tokens/s, 66 tokens, context 104, seed 1168526564)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =   710.06 ms /   480 runs   (    1.48 ms per token,   676.00 tokens per second)\n",
            "llama_print_timings: prompt eval time =   542.77 ms /    61 tokens (    8.90 ms per token,   112.39 tokens per second)\n",
            "llama_print_timings:        eval time = 19336.36 ms /   479 runs   (   40.37 ms per token,    24.77 tokens per second)\n",
            "llama_print_timings:       total time = 24649.55 ms\n",
            "Output generated in 25.39 seconds (18.87 tokens/s, 479 tokens, context 83, seed 463070209)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =    26.68 ms /    28 runs   (    0.95 ms per token,  1049.55 tokens per second)\n",
            "llama_print_timings: prompt eval time =   557.32 ms /    62 tokens (    8.99 ms per token,   111.25 tokens per second)\n",
            "llama_print_timings:        eval time =  1038.04 ms /    27 runs   (   38.45 ms per token,    26.01 tokens per second)\n",
            "llama_print_timings:       total time =  1694.65 ms\n",
            "Output generated in 2.45 seconds (11.00 tokens/s, 27 tokens, context 84, seed 801910365)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =    19.21 ms /    20 runs   (    0.96 ms per token,  1041.12 tokens per second)\n",
            "llama_print_timings: prompt eval time =   541.11 ms /    56 tokens (    9.66 ms per token,   103.49 tokens per second)\n",
            "llama_print_timings:        eval time =   752.76 ms /    19 runs   (   39.62 ms per token,    25.24 tokens per second)\n",
            "llama_print_timings:       total time =  1363.82 ms\n",
            "Output generated in 2.10 seconds (9.06 tokens/s, 19 tokens, context 78, seed 1451309748)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =     4.60 ms /     3 runs   (    1.53 ms per token,   652.17 tokens per second)\n",
            "llama_print_timings: prompt eval time =   542.01 ms /    43 tokens (   12.60 ms per token,    79.33 tokens per second)\n",
            "llama_print_timings:        eval time =    73.58 ms /     2 runs   (   36.79 ms per token,    27.18 tokens per second)\n",
            "llama_print_timings:       total time =   635.69 ms\n",
            "Output generated in 1.43 seconds (1.39 tokens/s, 2 tokens, context 65, seed 1529893311)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =     6.76 ms /     4 runs   (    1.69 ms per token,   591.89 tokens per second)\n",
            "llama_print_timings: prompt eval time =   531.88 ms /    50 tokens (   10.64 ms per token,    94.01 tokens per second)\n",
            "llama_print_timings:        eval time =   115.08 ms /     3 runs   (   38.36 ms per token,    26.07 tokens per second)\n",
            "llama_print_timings:       total time =   678.40 ms\n",
            "Output generated in 1.67 seconds (1.80 tokens/s, 3 tokens, context 72, seed 811937472)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =     9.91 ms /     9 runs   (    1.10 ms per token,   908.36 tokens per second)\n",
            "llama_print_timings: prompt eval time =   427.84 ms /    30 tokens (   14.26 ms per token,    70.12 tokens per second)\n",
            "llama_print_timings:        eval time =   306.85 ms /     8 runs   (   38.36 ms per token,    26.07 tokens per second)\n",
            "llama_print_timings:       total time =   781.34 ms\n",
            "Output generated in 1.51 seconds (5.30 tokens/s, 8 tokens, context 52, seed 449287398)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =    32.69 ms /    27 runs   (    1.21 ms per token,   825.99 tokens per second)\n",
            "llama_print_timings: prompt eval time =   417.21 ms /    19 tokens (   21.96 ms per token,    45.54 tokens per second)\n",
            "llama_print_timings:        eval time =  1046.78 ms /    26 runs   (   40.26 ms per token,    24.84 tokens per second)\n",
            "llama_print_timings:       total time =  1622.29 ms\n",
            "Output generated in 2.34 seconds (11.11 tokens/s, 26 tokens, context 41, seed 266026782)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =    32.21 ms /    33 runs   (    0.98 ms per token,  1024.53 tokens per second)\n",
            "llama_print_timings: prompt eval time =   549.02 ms /    57 tokens (    9.63 ms per token,   103.82 tokens per second)\n",
            "llama_print_timings:        eval time =  1270.21 ms /    32 runs   (   39.69 ms per token,    25.19 tokens per second)\n",
            "llama_print_timings:       total time =  1937.05 ms\n",
            "Output generated in 2.67 seconds (11.97 tokens/s, 32 tokens, context 79, seed 1356862881)\n",
            "2023-07-20 06:47:17 ERROR:\u001b[31mTask exception was never retrieved\n",
            "future: <Task finished name='9n9ask8i4m4_93' coro=<Queue.process_events() done, defined at /usr/local/lib/python3.10/dist-packages/gradio/queueing.py:343> exception=WebSocketDisconnect(1006)>\u001b[0m\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/queueing.py\", line 347, in process_events\n",
            "    client_awake = await self.gather_event_data(event)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/queueing.py\", line 220, in gather_event_data\n",
            "    data, client_awake = await self.get_message(event, timeout=receive_timeout)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/queueing.py\", line 453, in get_message\n",
            "    data = await asyncio.wait_for(\n",
            "  File \"/usr/lib/python3.10/asyncio/tasks.py\", line 445, in wait_for\n",
            "    return fut.result()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 133, in receive_json\n",
            "    self._raise_on_disconnect(message)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 105, in _raise_on_disconnect\n",
            "    raise WebSocketDisconnect(message[\"code\"])\n",
            "starlette.websockets.WebSocketDisconnect: 1006\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =     9.88 ms /    10 runs   (    0.99 ms per token,  1012.04 tokens per second)\n",
            "llama_print_timings: prompt eval time =   408.53 ms /    27 tokens (   15.13 ms per token,    66.09 tokens per second)\n",
            "llama_print_timings:        eval time =   351.79 ms /     9 runs   (   39.09 ms per token,    25.58 tokens per second)\n",
            "llama_print_timings:       total time =   797.18 ms\n",
            "Output generated in 1.56 seconds (5.78 tokens/s, 9 tokens, context 49, seed 455911857)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =   112.71 ms /   116 runs   (    0.97 ms per token,  1029.20 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1123.93 ms /   186 tokens (    6.04 ms per token,   165.49 tokens per second)\n",
            "llama_print_timings:        eval time =  4836.34 ms /   115 runs   (   42.06 ms per token,    23.78 tokens per second)\n",
            "llama_print_timings:       total time =  6394.19 ms\n",
            "Output generated in 7.17 seconds (16.05 tokens/s, 115 tokens, context 208, seed 375591163)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =   181.89 ms /   143 runs   (    1.27 ms per token,   786.20 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1632.92 ms /   265 tokens (    6.16 ms per token,   162.29 tokens per second)\n",
            "llama_print_timings:        eval time =  5935.69 ms /   142 runs   (   41.80 ms per token,    23.92 tokens per second)\n",
            "llama_print_timings:       total time =  8557.13 ms\n",
            "Output generated in 9.31 seconds (15.26 tokens/s, 142 tokens, context 336, seed 294997499)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =    82.74 ms /    88 runs   (    0.94 ms per token,  1063.57 tokens per second)\n",
            "llama_print_timings: prompt eval time =   391.44 ms /    18 tokens (   21.75 ms per token,    45.98 tokens per second)\n",
            "llama_print_timings:        eval time =  3440.91 ms /    87 runs   (   39.55 ms per token,    25.28 tokens per second)\n",
            "llama_print_timings:       total time =  4138.83 ms\n",
            "Output generated in 4.88 seconds (17.82 tokens/s, 87 tokens, context 40, seed 400337288)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =    33.70 ms /    34 runs   (    0.99 ms per token,  1008.90 tokens per second)\n",
            "llama_print_timings: prompt eval time =   769.05 ms /    95 tokens (    8.10 ms per token,   123.53 tokens per second)\n",
            "llama_print_timings:        eval time =  1364.66 ms /    33 runs   (   41.35 ms per token,    24.18 tokens per second)\n",
            "llama_print_timings:       total time =  2257.50 ms\n",
            "Output generated in 3.13 seconds (10.54 tokens/s, 33 tokens, context 117, seed 698885743)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =     0.91 ms /     1 runs   (    0.91 ms per token,  1095.29 tokens per second)\n",
            "llama_print_timings: prompt eval time =   537.81 ms /    33 tokens (   16.30 ms per token,    61.36 tokens per second)\n",
            "llama_print_timings:        eval time =     0.00 ms /     1 runs   (    0.00 ms per token,      inf tokens per second)\n",
            "llama_print_timings:       total time =   542.07 ms\n",
            "Output generated in 1.28 seconds (0.00 tokens/s, 0 tokens, context 149, seed 1995063733)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =   604.70 ms\n",
            "llama_print_timings:      sample time =   205.85 ms /   145 runs   (    1.42 ms per token,   704.39 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1080.54 ms /   177 tokens (    6.10 ms per token,   163.81 tokens per second)\n",
            "llama_print_timings:        eval time =  5741.43 ms /   144 runs   (   39.87 ms per token,    25.08 tokens per second)\n",
            "llama_print_timings:       total time =  8082.58 ms\n",
            "Output generated in 8.83 seconds (16.31 tokens/s, 144 tokens, context 199, seed 2089593778)\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "!apt-get -y install -qq aria2\n",
        "\n",
        "!git clone -b V20230720 https://github.com/Troyanovsky/text-generation-webui\n",
        "%cd /content/text-generation-webui\n",
        "!pip install -r requirements.txt\n",
        "!pip install -U gradio==3.32.0\n",
        "\n",
        "!pip uninstall -y llama-cpp-python\n",
        "!CMAKE_ARGS=\"-DLLAMA_CUBLAS=on\" FORCE_CMAKE=1 pip install llama-cpp-python==0.1.78 --no-cache-dir\n",
        "\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/Luna-AI-Llama2-Uncensored-GGML/resolve/main/luna-ai-llama2-uncensored.ggmlv3.q5_K_M.bin -d /content/text-generation-webui/models/ -o luna-ai-llama2-uncensored.ggmlv3.q5_K_M.bin\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --chat --n-gpu-layers 200000 --model luna-ai-llama2-uncensored.ggmlv3.q5_K_M.bin"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyM+I2Xqj48oEXondn4rkKrH",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}