Redmond_Hermes_Coder_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/Redmond_Hermes_Coder_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": [
        "## Redmond-Hermes-Coder-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": "38b8f286-6380-462e-818f-b10d9b28b144"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content\n",
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            "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% (150/150), done.\u001b[K\n",
            "remote: Total 8809 (delta 124), reused 164 (delta 84), pack-reused 8571\u001b[K\n",
            "Receiving objects: 100% (8809/8809), 3.04 MiB | 16.32 MiB/s, done.\n",
            "Resolving deltas: 100% (5870/5870), 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",
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            "  Running command git clone --filter=blob:none --quiet https://github.com/huggingface/peft /tmp/pip-req-build-ydmjj0ts\n",
            "  Running command git rev-parse -q --verify 'sha^03eb378eb914fbee709ff7c86ba5b1d033b89524'\n",
            "  Running command git fetch -q https://github.com/huggingface/peft 03eb378eb914fbee709ff7c86ba5b1d033b89524\n",
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            "  Created wheel for peft: filename=peft-0.4.0.dev0-py3-none-any.whl size=61146 sha256=a3f27b104def0f30e1b0d80d1cc953e537c6f49f8cebfafdbc7dbdfe62d2504d\n",
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            "  Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4694 sha256=ab1260d0be257afb79253a736ac671f45f73d0088b3482b0961aa51034f867b1\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=3651604 sha256=00c8102ea399f5df51d7c9bb286237c96249dff01e4b5b6404dca0af03b8a9cc\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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            "/content/text-generation-webui\n",
            "2023-07-03 12:19:23 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 12:19:25.585843: 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 12:19:28 INFO:\u001b[32mLoading Redmond-Hermes-Coder-GPTQ...\u001b[0m\n",
            "2023-07-03 12:19:28 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 12:19:34 WARNING:\u001b[33mThe safetensors archive passed at models/Redmond-Hermes-Coder-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 12:20:26 WARNING:\u001b[33mGPTBigCodeGPTQForCausalLM hasn't fused attention module yet, will skip inject fused attention.\u001b[0m\n",
            "2023-07-03 12:20:26 WARNING:\u001b[33mGPTBigCodeGPTQForCausalLM hasn't fused mlp module yet, will skip inject fused mlp.\u001b[0m\n",
            "2023-07-03 12:20:26 INFO:\u001b[32mLoaded the model in 57.63 seconds.\n",
            "\u001b[0m\n",
            "2023-07-03 12:20:26 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://7bf374da9cf4d3feba.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 22.16 seconds (1.49 tokens/s, 33 tokens, context 95, seed 1403520350)\n",
            "Output generated in 11.75 seconds (5.79 tokens/s, 68 tokens, context 63, seed 1956975023)\n",
            "Output generated in 181.64 seconds (5.50 tokens/s, 999 tokens, context 55, seed 635323746)\n",
            "Output generated in 17.43 seconds (6.37 tokens/s, 111 tokens, context 1048, seed 450260086)\n",
            "Output generated in 12.30 seconds (7.24 tokens/s, 89 tokens, context 59, seed 2099419491)\n",
            "Output generated in 3.36 seconds (0.30 tokens/s, 1 tokens, context 147, seed 1230349985)\n",
            "Output generated in 40.43 seconds (10.81 tokens/s, 437 tokens, context 57, seed 792891405)\n",
            "Output generated in 85.39 seconds (11.70 tokens/s, 999 tokens, context 60, seed 129571796)\n",
            "Output generated in 10.47 seconds (7.74 tokens/s, 81 tokens, context 1048, seed 89283381)\n",
            "Error in sys.excepthook:\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/traceback.py\", line 97, in excepthook\n",
            "    def excepthook(\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://7bf374da9cf4d3feba.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/Redmond-Hermes-Coder-GPTQ/resolve/main/config.json -d /content/text-generation-webui/models/Redmond-Hermes-Coder-GPTQ -o config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/Redmond-Hermes-Coder-GPTQ/resolve/main/added_tokens.json -d /content/text-generation-webui/models/Redmond-Hermes-Coder-GPTQ -o added_tokens.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/Redmond-Hermes-Coder-GPTQ/resolve/main/generation_config.json -d /content/text-generation-webui/models/Redmond-Hermes-Coder-GPTQ -o generation_config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/Redmond-Hermes-Coder-GPTQ/resolve/main/quantize_config.json -d /content/text-generation-webui/models/Redmond-Hermes-Coder-GPTQ -o quantize_config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/Redmond-Hermes-Coder-GPTQ/resolve/main/special_tokens_map.json -d /content/text-generation-webui/models/Redmond-Hermes-Coder-GPTQ -o special_tokens_map.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/Redmond-Hermes-Coder-GPTQ/resolve/main/tokenizer.json -d /content/text-generation-webui/models/Redmond-Hermes-Coder-GPTQ -o tokenizer.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/Redmond-Hermes-Coder-GPTQ/resolve/main/vocab.json -d /content/text-generation-webui/models/Redmond-Hermes-Coder-GPTQ -o vocab.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/Redmond-Hermes-Coder-GPTQ/resolve/main/merges.txt -d /content/text-generation-webui/models/Redmond-Hermes-Coder-GPTQ -o merges.txt\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/Redmond-Hermes-Coder-GPTQ/resolve/main/tokenizer_config.json -d /content/text-generation-webui/models/Redmond-Hermes-Coder-GPTQ -o tokenizer_config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/Redmond-Hermes-Coder-GPTQ/resolve/main/model.safetensors -d /content/text-generation-webui/models/Redmond-Hermes-Coder-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": "ABX9TyOsAhTE8FVXB/nsyAPuA3pd",
      "include_colab_link": true,
      "provenance": []
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}