WizardCoder_15B_1_0_GPTQ.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "view-in-github"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Troyanovsky/Local-LLM-comparison/blob/main/WizardCoder_15B_1_0_GPTQ.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ua-Bw1MB0o-3"
      },
      "source": [
        "## WizardCoder-15B-1.0-GPTQ 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:\n",
        "\n",
        "```\n",
        "Below is an instruction that describes a task. Write a response that appropriately completes the request\n",
        "\n",
        "### Instruction: prompt\n",
        "\n",
        "### Response:\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "sPCHGYIYG0Ns",
        "outputId": "2bd2f5e2-6b17-48bc-a378-bce9c18b8455"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content\n",
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            "Unpacking aria2 (1.35.0-1build1) ...\n",
            "Setting up libc-ares2:amd64 (1.15.0-1ubuntu0.3) ...\n",
            "Setting up libaria2-0:amd64 (1.35.0-1build1) ...\n",
            "Setting up aria2 (1.35.0-1build1) ...\n",
            "Processing triggers for man-db (2.9.1-1) ...\n",
            "Processing triggers for libc-bin (2.31-0ubuntu9.9) ...\n",
            "Cloning into 'text-generation-webui'...\n",
            "remote: Enumerating objects: 8809, done.\u001b[K\n",
            "remote: Counting objects: 100% (238/238), done.\u001b[K\n",
            "remote: Compressing objects: 100% (147/147), done.\u001b[K\n",
            "remote: Total 8809 (delta 124), reused 167 (delta 87), pack-reused 8571\u001b[K\n",
            "Receiving objects: 100% (8809/8809), 3.05 MiB | 15.91 MiB/s, done.\n",
            "Resolving deltas: 100% (5869/5869), done.\n",
            "Note: switching to '22d455b0728480e9bf7ff72f1b246e12899fd891'.\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",
            "Collecting git+https://github.com/huggingface/peft@03eb378eb914fbee709ff7c86ba5b1d033b89524 (from -r requirements.txt (line 19))\n",
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            "  Running command git clone --filter=blob:none --quiet https://github.com/huggingface/peft /tmp/pip-req-build-otc98xq2\n",
            "  Running command git rev-parse -q --verify 'sha^03eb378eb914fbee709ff7c86ba5b1d033b89524'\n",
            "  Running command git fetch -q https://github.com/huggingface/peft 03eb378eb914fbee709ff7c86ba5b1d033b89524\n",
            "  Running command git checkout -q 03eb378eb914fbee709ff7c86ba5b1d033b89524\n",
            "  Resolved https://github.com/huggingface/peft to commit 03eb378eb914fbee709ff7c86ba5b1d033b89524\n",
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            "  Created wheel for peft: filename=peft-0.4.0.dev0-py3-none-any.whl size=61146 sha256=d7fa57c7c37ecbdb3dc1d3eb0341e04726e269233efe09c00d0265e8594650b9\n",
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            "  Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4694 sha256=a83281739fd47c1fa3dc26244644e49291d8c037e3102b1b746b6663d1726f89\n",
            "  Stored in directory: /root/.cache/pip/wheels/0c/c2/0e/3b9c6845c6a4e35beb90910cc70d9ac9ab5d47402bd62af0df\n",
            "Successfully built llama-cpp-python peft ffmpy\n",
            "Installing collected packages: tokenizers, sentencepiece, safetensors, pydub, pulp, ffmpy, bitsandbytes, xxhash, websockets, uc-micro-py, semantic-version, rouge, python-multipart, Pillow, orjson, markdown-it-py, h11, einops, diskcache, dill, colorama, aiofiles, uvicorn, starlette, multiprocess, mdit-py-plugins, llama-cpp-python, linkify-it-py, huggingface-hub, httpcore, transformers, httpx, fastapi, 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",
            "    Uninstalling markdown-it-py-3.0.0:\n",
            "      Successfully uninstalled markdown-it-py-3.0.0\n",
            "Successfully installed Pillow-10.0.0 accelerate-0.20.3 aiofiles-23.1.0 auto-gptq-0.2.2+cu117 bitsandbytes-0.39.1 colorama-0.4.6 datasets-2.13.1 dill-0.3.6 diskcache-5.6.1 einops-0.6.1 exllama-0.0.3+cu117 fastapi-0.99.1 ffmpy-0.3.0 flexgen-0.1.7 gradio-3.33.1 gradio_client-0.2.5 h11-0.14.0 httpcore-0.17.2 httpx-0.24.1 huggingface-hub-0.15.1 linkify-it-py-2.0.2 llama-cpp-python-0.1.64 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 multiprocess-0.70.14 orjson-3.9.1 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 starlette-0.27.0 tokenizers-0.13.3 transformers-4.30.2 uc-micro-py-1.0.2 uvicorn-0.22.0 websockets-11.0.3 xxhash-3.2.0\n"
          ]
        },
        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL"
                ]
              }
            }
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
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            "Installing collected packages: gradio\n",
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            "  Building wheel for auto-gptq (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for auto-gptq: filename=auto_gptq-0.2.2-cp310-cp310-linux_x86_64.whl size=3651685 sha256=2b6070973a1dd11d044220a43150a6f25547c2be01682490dcb5a71067541ed6\n",
            "  Stored in directory: /root/.cache/pip/wheels/bf/f6/50/bb6ab784e7824cbf190a1a8205d91e6543287718fb21d5b033\n",
            "Successfully built auto-gptq\n",
            "Installing collected packages: auto-gptq\n",
            "Successfully installed auto-gptq-0.2.2\n",
            "\n",
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            "\n",
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            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "2023-07-03 11:52:50 WARNING:\u001b[33mThe gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.\u001b[0m\n",
            "2023-07-03 11:52:52.872772: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "bin /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cuda118.so\n",
            "2023-07-03 11:52:56 INFO:\u001b[32mLoading WizardCoder-15B-1.0-GPTQ...\u001b[0m\n",
            "2023-07-03 11:52:56 INFO:\u001b[32mThe AutoGPTQ params are: {'model_basename': 'gptq_model-4bit-128g', 'device': 'cuda:0', 'use_triton': False, 'inject_fused_attention': True, 'inject_fused_mlp': True, 'use_safetensors': True, 'trust_remote_code': False, 'max_memory': None, 'quantize_config': None, 'use_cuda_fp16': True}\u001b[0m\n",
            "2023-07-03 11:53:01 WARNING:\u001b[33mThe safetensors archive passed at models/WizardCoder-15B-1.0-GPTQ/gptq_model-4bit-128g.safetensors does not contain metadata. Make sure to save your model with the `save_pretrained` method. Defaulting to 'pt' metadata.\u001b[0m\n",
            "2023-07-03 11:54:04 WARNING:\u001b[33mGPTBigCodeGPTQForCausalLM hasn't fused attention module yet, will skip inject fused attention.\u001b[0m\n",
            "2023-07-03 11:54:04 WARNING:\u001b[33mGPTBigCodeGPTQForCausalLM hasn't fused mlp module yet, will skip inject fused mlp.\u001b[0m\n",
            "2023-07-03 11:54:04 INFO:\u001b[32mLoaded the model in 68.04 seconds.\n",
            "\u001b[0m\n",
            "2023-07-03 11:54:04 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://03f6481491589a05f5.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",
            "Output generated in 61.44 seconds (3.37 tokens/s, 207 tokens, context 55, seed 257486843)\n",
            "Output generated in 3.83 seconds (0.26 tokens/s, 1 tokens, context 261, seed 1618013564)\n",
            "2023-07-03 11:57:07 ERROR:\u001b[31mTask exception was never retrieved\n",
            "future: <Task finished name='wrgoaau0w8f_55' 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",
            "Output generated in 21.71 seconds (9.54 tokens/s, 207 tokens, context 55, seed 2109317211)\n",
            "Output generated in 170.17 seconds (5.87 tokens/s, 999 tokens, context 277, seed 1271182869)\n",
            "Output generated in 31.06 seconds (9.21 tokens/s, 286 tokens, context 1033, seed 1013150830)\n",
            "Output generated in 67.95 seconds (11.44 tokens/s, 777 tokens, context 59, seed 1135125379)\n",
            "Output generated in 4.41 seconds (0.23 tokens/s, 1 tokens, context 835, seed 105489768)\n",
            "Output generated in 84.10 seconds (11.88 tokens/s, 999 tokens, context 57, seed 289801111)\n",
            "Output generated in 37.14 seconds (9.75 tokens/s, 362 tokens, context 1048, seed 278245684)\n",
            "Output generated in 30.28 seconds (10.04 tokens/s, 304 tokens, context 60, seed 1523948929)\n",
            "Output generated in 4.73 seconds (3.17 tokens/s, 15 tokens, context 376, seed 494533118)\n",
            "Output generated in 6.85 seconds (4.96 tokens/s, 34 tokens, context 403, seed 1804473115)\n",
            "Error in sys.excepthook:\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/console.py\", line 1699, in print\n",
            "    extend(render(renderable, render_options))\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/console.py\", line 1335, in render\n",
            "    yield from self.render(render_output, _options)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/console.py\", line 1331, in render\n",
            "    for render_output in iter_render:\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/constrain.py\", line 29, in __rich_console__\n",
            "    yield from console.render(self.renderable, child_options)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/console.py\", line 1331, in render\n",
            "    for render_output in iter_render:\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/panel.py\", line 220, in __rich_console__\n",
            "    lines = console.render_lines(renderable, child_options, style=style)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/console.py\", line 1371, in render_lines\n",
            "    lines = list(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/segment.py\", line 292, in split_and_crop_lines\n",
            "    for segment in segments:\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/console.py\", line 1331, in render\n",
            "    for render_output in iter_render:\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/padding.py\", line 97, in __rich_console__\n",
            "    lines = console.render_lines(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/console.py\", line 1371, in render_lines\n",
            "    lines = list(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/segment.py\", line 292, in split_and_crop_lines\n",
            "    for segment in segments:\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/console.py\", line 1335, in render\n",
            "    yield from self.render(render_output, _options)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/console.py\", line 1331, in render\n",
            "    for render_output in iter_render:\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/syntax.py\", line 611, in __rich_console__\n",
            "    segments = Segments(self._get_syntax(console, options))\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/segment.py\", line 668, in __init__\n",
            "    self.segments = list(segments)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/syntax.py\", line 639, in _get_syntax\n",
            "    text = self.highlight(processed_code, self.line_range)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/syntax.py\", line 470, in highlight\n",
            "    lexer = self.lexer\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/syntax.py\", line 433, in lexer\n",
            "    return get_lexer_by_name(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pygments/lexers/__init__.py\", line 106, in get_lexer_by_name\n",
            "    return _lexer_cache[name](**options)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pygments/lexer.py\", line 581, in __call__\n",
            "    cls._tokens = cls.process_tokendef('', cls.get_tokendefs())\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pygments/lexer.py\", line 520, in process_tokendef\n",
            "    cls._process_state(tokendefs, processed, state)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pygments/lexer.py\", line 483, in _process_state\n",
            "    tokens.extend(cls._process_state(unprocessed, processed,\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pygments/lexer.py\", line 499, in _process_state\n",
            "    rex = cls._process_regex(tdef[0], rflags, state)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pygments/lexer.py\", line 428, in _process_regex\n",
            "    return re.compile(regex, rflags).match\n",
            "  File \"/usr/lib/python3.10/re.py\", line 251, in compile\n",
            "    return _compile(pattern, flags)\n",
            "  File \"/usr/lib/python3.10/re.py\", line 303, in _compile\n",
            "    p = sre_compile.compile(pattern, flags)\n",
            "  File \"/usr/lib/python3.10/sre_compile.py\", line 792, in compile\n",
            "    code = _code(p, flags)\n",
            "  File \"/usr/lib/python3.10/sre_compile.py\", line 631, in _code\n",
            "    _compile(code, p.data, flags)\n",
            "  File \"/usr/lib/python3.10/sre_compile.py\", line 184, in _compile\n",
            "    _compile(code, p, _combine_flags(flags, add_flags, del_flags))\n",
            "  File \"/usr/lib/python3.10/sre_compile.py\", line 225, in _compile\n",
            "    _compile(code, av, flags)\n",
            "  File \"/usr/lib/python3.10/sre_compile.py\", line 110, in _compile\n",
            "    emit(av)\n",
            "KeyboardInterrupt\n",
            "\n",
            "Original exception was:\n",
            "Traceback (most recent call last):\n",
            "  File \"/content/text-generation-webui/server.py\", line 1037, in <module>\n",
            "    time.sleep(0.5)\n",
            "KeyboardInterrupt\n",
            "Killing tunnel 127.0.0.1:7860 <> https://03f6481491589a05f5.gradio.live\n",
            "^C\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "!apt-get -y install -qq aria2\n",
        "\n",
        "!git clone -b V20230626 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 auto-gptq\n",
        "!pip install auto-gptq\n",
        "\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/WizardCoder-15B-1.0-GPTQ/resolve/main/config.json -d /content/text-generation-webui/models/WizardCoder-15B-1.0-GPTQ -o config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/WizardCoder-15B-1.0-GPTQ/resolve/main/added_tokens.json -d /content/text-generation-webui/models/WizardCoder-15B-1.0-GPTQ -o added_tokens.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/WizardCoder-15B-1.0-GPTQ/resolve/main/generation_config.json -d /content/text-generation-webui/models/WizardCoder-15B-1.0-GPTQ -o generation_config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/WizardCoder-15B-1.0-GPTQ/resolve/main/quantize_config.json -d /content/text-generation-webui/models/WizardCoder-15B-1.0-GPTQ -o quantize_config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/WizardCoder-15B-1.0-GPTQ/resolve/main/special_tokens_map.json -d /content/text-generation-webui/models/WizardCoder-15B-1.0-GPTQ -o special_tokens_map.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/WizardCoder-15B-1.0-GPTQ/resolve/main/tokenizer.json -d /content/text-generation-webui/models/WizardCoder-15B-1.0-GPTQ -o tokenizer.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/WizardCoder-15B-1.0-GPTQ/resolve/main/vocab.json -d /content/text-generation-webui/models/WizardCoder-15B-1.0-GPTQ -o vocab.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/WizardCoder-15B-1.0-GPTQ/resolve/main/tokenizer_config.json -d /content/text-generation-webui/models/WizardCoder-15B-1.0-GPTQ -o tokenizer_config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/WizardCoder-15B-1.0-GPTQ/resolve/main/model.safetensors -d /content/text-generation-webui/models/WizardCoder-15B-1.0-GPTQ -o gptq_model-4bit-128g.safetensors\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --chat --loader AutoGPTQ"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "authorship_tag": "ABX9TyPtF1XTsfOJrWHWOLU3I/VB",
      "include_colab_link": true,
      "provenance": []
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}