mistral7B_langchain.ipynb

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  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IWiLdMj5b41D",
        "outputId": "2d202e5b-20a5-4d96-8be3-bd6590c9d4f2"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Collecting huggingface-hub (from ctransformers[cuda])\n",
            "  Downloading huggingface_hub-0.17.3-py3-none-any.whl (295 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m295.0/295.0 kB\u001b[0m \u001b[31m28.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting mypy-extensions>=0.3.0 (from typing-inspect<1,>=0.4.0->dataclasses-json<0.7,>=0.5.7->langchain)\n",
            "  Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\n",
            "Installing collected packages: safetensors, nvidia-cuda-runtime-cu12, nvidia-cublas-cu12, mypy-extensions, marshmallow, jsonpointer, typing-inspect, langsmith, jsonpatch, huggingface-hub, tokenizers, dataclasses-json, ctransformers, transformers, langchain\n",
            "Successfully installed ctransformers-0.2.27 dataclasses-json-0.6.1 huggingface-hub-0.17.3 jsonpatch-1.33 jsonpointer-2.4 langchain-0.0.317 langsmith-0.0.46 marshmallow-3.20.1 mypy-extensions-1.0.0 nvidia-cublas-cu12-12.2.5.6 nvidia-cuda-runtime-cu12-12.2.140 safetensors-0.4.0 tokenizers-0.14.1 transformers-4.34.1 typing-inspect-0.9.0\n"
          ]
        }
      ],
      "source": [
        "!pip install langchain ctransformers[cuda]"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Simple ctransformers example code\n",
        "Source: https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF"
      ],
      "metadata": {
        "id": "YPRRaXk2cdpP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from ctransformers import AutoModelForCausalLM\n",
        "\n",
        "# Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.\n",
        "llm = AutoModelForCausalLM.from_pretrained(\"TheBloke/Mistral-7B-Instruct-v0.1-GGUF\", model_file=\"mistral-7b-instruct-v0.1.Q4_K_M.gguf\", model_type=\"mistral\", gpu_layers=50)\n",
        "\n",
        "print(llm(\"AI is going to\"))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289,
          "referenced_widgets": [
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        "outputId": "fb14111b-3171-48c7-c228-8ba57770308f"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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        {
          "output_type": "stream",
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          "text": [
            " be one of the biggest transformative technologies for business, society and our world in general. One area that I’m excited about is the ability to automate certain processes through natural language processing (NLP). With NLP, computers can understand and process human language in a way that allows them to interact with us more naturally.\n",
            "\n",
            "One example of this is chatbots. Chatbots are computer programs that use NLP to simulate conversation with human users. They can be used for customer service, sales, marketing, and even personal assistance. Chatbots have the ability to provide instant responses to customer inquiries, which can save businesses time and money while improving customer satisfaction.\n",
            "\n",
            "Another example of NLP is voice assistants like Siri or Alexa. These AI-powered assistants use NLP to understand and respond to voice commands. They can be used for a variety of tasks such as setting reminders, playing music, and controlling smart home devices. Voice assistants are becoming increasingly popular as they provide a more natural way for users to interact with technology.\n",
            "\n",
            "NLP also has the potential to revolutionize how we interact with data. With NLP, computers can analyze unstructured data such as text, images, and\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Use LangChain"
      ],
      "metadata": {
        "id": "BJBT5DJUcPTz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "from langchain.llms import CTransformers\n",
        "from langchain.prompts import PromptTemplate\n",
        "\n",
        "TEMPLATE = \"\"\"<s>[INST] You are a friendly chat bot who's willing to help answer the\n",
        "user:\n",
        "{user_input} [/INST] </s>\n",
        "\"\"\"\n",
        "\n",
        "mistral = CTransformers(\n",
        "    model=\"TheBloke/Mistral-7B-Instruct-v0.1-GGUF\",\n",
        "    model_file=\"mistral-7b-instruct-v0.1.Q4_K_M.gguf\",\n",
        "    prompt = PromptTemplate(template=TEMPLATE, input_variables=[\"user_input\"]))\n",
        "\n",
        "print(mistral(\"How to be happy?\"))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 414,
          "referenced_widgets": [
            "ca5633b614064414ad20615ade8dc0d3",
            "012eaff52f104faeb6551d5b90395b2f",
            "7415bbb61953474c9632b5ef28849ad9",
            "0f563ff946aa403e8cbccad2c69df487",
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            "9ee8cd2c1d884b70b4f042ebb2f79e59",
            "338531f5a8a9494dae33285a7c0e9f9e",
            "e2f62f3923e2437fbefc0b0054777e32",
            "6d165dd908b84b878ce898b52214f6ab",
            "f2122173434e4aeba705bd3b1610c683",
            "88921263be924ad3b81676072effc44b",
            "659d0db68b0645deac56f1176a1287e0",
            "f7b3889cc4034733a19d0fd66c1c8c7c",
            "78e1260db7a54a7bbf7adfbd6373a9e8",
            "1b2850b0a0114f07a801bed53ae828bb",
            "58bf213cd63948fa9f2c7e5848305ae1",
            "1e08ae7dbb774dbaa31cde65df3a31cd",
            "1bae982178a849ca86f826e246901d8f",
            "32c75903080d4e0cb2bd6c013403061f",
            "ae23ab2997124470a0b768c0e9ecaa3f",
            "e1ebcc6aa70f4bd890fe97bb41154f14",
            "4de01d571b094395a1b8fb05a58a8252",
            "10eb7cdb8b5948fea94a4ac5e2441a95",
            "83c15fd33c58474889b4319aac93f322",
            "f337040d88024b7ba35836db24e226bc",
            "fee0ffb3c07d477cb4a45b90806d94a9",
            "c105063683ce414b92c1fb61950d5c17",
            "7a8c32ae264946418d13b0a45a0eece6",
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            "1eb324701c5c4b67a2648b15b797a870",
            "b55e5a5351334c39876723e06a1c261c",
            "a2f207dd47434a6b97a5d0c0b0d3284e",
            "64fbb13556b0403d95334d5f433e3694",
            "75a9bda7585e49faafc4d432ae82ba30",
            "d10d019098594b3b91836d9744f4f829",
            "c4645745978f4a6c9dd54ffdb7a28382",
            "f726a2b946cf4611ade75b6155188562",
            "d71adb83e1364bd0b507acf47285672d",
            "852bb8a2c88e4d2d898367b0dea5321c",
            "fb56045257f844eba86295179ff3e709",
            "4009df370c13473ca845d8a5dc31830c",
            "650adebf0d574571b5ed717d227be995",
            "8cd6b76ea98a4ec79c8e7a77c470fe53"
          ]
        },
        "id": "24N_B2HHb_zG",
        "outputId": "193ed6ef-7f68-42cb-d420-b11766d642ee"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Fetching 1 files:   0%|          | 0/1 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "ca5633b614064414ad20615ade8dc0d3"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)f9f258a8/config.json:   0%|          | 0.00/31.0 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "88921263be924ad3b81676072effc44b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Fetching 1 files:   0%|          | 0/1 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "4de01d571b094395a1b8fb05a58a8252"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)uct-v0.1.Q4_K_M.gguf:   0%|          | 0.00/4.37G [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "64fbb13556b0403d95334d5f433e3694"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "How do you find happiness in life?\n",
            "\n",
            "Happiness is not something that comes to us, it's something we create. Here are some tips on how to cultivate your own happiness:\n",
            "\n",
            "1. Focus on the present moment and let go of worries about the future or regrets from the past.\n",
            "2. Surround yourself with positive people who support and uplift you.\n",
            "3. Take care of your physical, emotional, and mental health by eating well, exercising regularly, getting enough sleep, and practicing stress-reducing activities like meditation or yoga.\n",
            "4. Set goals that bring you a sense of purpose and accomplishment.\n",
            "5. Practice gratitude by focusing on the positive aspects of your life and expressing thanks for what you have.\n",
            "6. Learn to let go of things that don't serve you, such as negative thoughts or unhealthy relationships.\n",
            "7. Find activities that bring you joy and fulfillment, whether it's a hobby, a sport, or spending time with loved ones.\n",
            "8. Be patient with yourself and know that happiness is not something that happens overnight. It takes time and effort to cultivate.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Xx9HcLIdf6Xx"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}