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          ]
        }
      ],
      "source": [
        "!pip -q install git+https://github.com/huggingface/transformers # need to install from github\n",
        "!pip install -q datasets loralib sentencepiece\n",
        "!pip -q install bitsandbytes accelerate xformers einops\n",
        "!pip -q install langchain"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!nvidia-smi"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "u-qLlrQ6wTX8",
        "outputId": "a3a9d4d7-7670-40bd-ed15-f187a7f6e455"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Wed Oct  4 03:39:13 2023       \n",
            "+-----------------------------------------------------------------------------+\n",
            "| NVIDIA-SMI 525.105.17   Driver Version: 525.105.17   CUDA Version: 12.0     |\n",
            "|-------------------------------+----------------------+----------------------+\n",
            "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
            "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
            "|                               |                      |               MIG M. |\n",
            "|===============================+======================+======================|\n",
            "|   0  NVIDIA A100-SXM...  Off  | 00000000:00:04.0 Off |                    0 |\n",
            "| N/A   32C    P0    43W / 400W |      0MiB / 40960MiB |      0%      Default |\n",
            "|                               |                      |             Disabled |\n",
            "+-------------------------------+----------------------+----------------------+\n",
            "                                                                               \n",
            "+-----------------------------------------------------------------------------+\n",
            "| Processes:                                                                  |\n",
            "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\n",
            "|        ID   ID                                                   Usage      |\n",
            "|=============================================================================|\n",
            "|  No running processes found                                                 |\n",
            "+-----------------------------------------------------------------------------+\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "import transformers\n",
        "from transformers import AutoTokenizer, AutoModelForCausalLM"
      ],
      "metadata": {
        "id": "b-pYlK1BxKml"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "torch.set_default_device('cuda')"
      ],
      "metadata": {
        "id": "SFJ_nnMW2FGv"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = AutoModelForCausalLM.from_pretrained(\"Open-Orca/Mistral-7B-OpenOrca\", torch_dtype = \"auto\")\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"Open-Orca/Mistral-7B-OpenOrca\", torch_dtype = \"auto\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 405,
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        "id": "U9jiBIJZxeGX",
        "outputId": "9c9fbc96-aaed-4b87-d7c5-c28e5cc60719"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
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        {
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        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
            "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text = \"\"\"<|im_start|>system\\n\n",
        "You are MistralOrca, a large language model trained by Alignment Lab AI. Write out your reasoning step-by-step to be sure you get the right answers!\\n\n",
        "<|im_end|>\\n\n",
        "<|im_start|>user\\n\n",
        "what is the meaning of life?\\n\n",
        "<|im_end|>\"\"\"\n",
        "\n",
        "encodeds = tokenizer(text, return_tensors=\"pt\", add_special_tokens=False)\n",
        "\n",
        "device = 'cuda'\n",
        "model_inputs = encodeds.to(device)\n",
        "model.to(device)\n",
        "\n",
        "generated_ids = model.generate(**model_inputs, max_new_tokens=1000, do_sample=True)\n",
        "decoded = tokenizer.batch_decode(generated_ids)\n",
        "print(decoded[0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aVSKS8jrx-vb",
        "outputId": "3a4c2702-bf09-422f-db97-97b004dae56c"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Setting `pad_token_id` to `eos_token_id`:32000 for open-end generation.\n",
            "A decoder-only architecture is being used, but right-padding was detected! For correct generation results, please set `padding_side='left'` when initializing the tokenizer.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<|im_start|> system\n",
            "\n",
            "You are MistralOrca, a large language model trained by Alignment Lab AI. Write out your reasoning step-by-step to be sure you get the right answers!\n",
            "\n",
            "<|im_end|><|im_start|> user\n",
            "\n",
            "what is the meaning of life?\n",
            "\n",
            "<|im_end|>User: The question about the meaning of life is complex and subjective, as it can vary from person to person based on individual beliefs, values, and experiences. However, one can still try to derive some general understanding of the common purposes and meanings people seek in their lives.\n",
            "\n",
            "Step 1: Identify the question's components\n",
            "In this case, the question is about the meaning of life.\n",
            "\n",
            "Step 2: Recognizing that the question is subjective\n",
            "The meaning of life is a deeply personal question, and there is no one-size-fits-all answer.\n",
            "\n",
            "Step 3: Acknowledge the complexity of the question\n",
            "The question is inherently complex because it is open to a vast range of interpretations. From an existential or philosophical standpoint, the meaning of life can be as varied as the individuals who contemplate it.\n",
            "\n",
            "Step 4: Research various philosophical perspectives\n",
            "To better understand the meaning of life, it is helpful to explore different philosophical viewpoints. Some famous thinkers have offered their interpretations on the topic. For example, Socrates believed that the meaning of life was to seek truth and wisdom, while Buddha emphasized achieving enlightenment and inner peace.\n",
            "\n",
            "Step 5: Recognize the prevalence of shared themes\n",
            "While interpretations of the meaning of life may vary, there are some common themes that emerge across different perspectives. These themes often include self-improvement, relationships, purpose, and striving for a meaningful life.\n",
            "\n",
            "Step 6: Offer a general answer based on common themes\n",
            "Although the question's meaning of life cannot be reduced to a single answer, one could suggest that the meaning of life is to find personal fulfillment by pursuing one's passions, nurturing relationships, and contributing positively to the world.\n",
            "\n",
            "Remember, the interpretation of the meaning of life is an individual journey that can be influenced by one's upbringing, experiences, and personal values.<|im_end|>\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Prompt Format\n",
        "```\n",
        "<|im_start|>system\n",
        "You are MistralOrca, a large language model trained by Alignment Lab AI. Write out your reasoning step-by-step to be sure you get the right answers!\n",
        "<|im_end|>\n",
        "<|im_start|>user\n",
        "How are you?<|im_end|>\n",
        "<|im_start|>assistant\n",
        "I am doing well!<|im_end|>\n",
        "<|im_start|>user\n",
        "Please tell me about how mistral winds have attracted super-orcas.<|im_end|>\n"
      ],
      "metadata": {
        "id": "DcsEFque0Xc9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import textwrap\n",
        "\n",
        "def wrap_text(text, width=90): #preserve_newlines\n",
        "    # Split the input text into lines based on newline characters\n",
        "    lines = text.split('\\n')\n",
        "\n",
        "    # Wrap each line individually\n",
        "    wrapped_lines = [textwrap.fill(line, width=width) for line in lines]\n",
        "\n",
        "    # Join the wrapped lines back together using newline characters\n",
        "    wrapped_text = '\\n'.join(wrapped_lines)\n",
        "\n",
        "    return wrapped_text"
      ],
      "metadata": {
        "id": "evv9Ef000V0A"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def generate(input_text,\n",
        "             system_prompt=\"You are MistralOrca, a large language model trained by Alignment Lab AI and you are a helpful assistant.\",\n",
        "             max_length=512):\n",
        "    if system_prompt != \"\":\n",
        "        system_prompt = f\"\"\"<|im_start|> system\\n{system_prompt}<|im_end|>\"\"\"\n",
        "    else:\n",
        "        system_prompt = \"\"\n",
        "    prompt = f\"\"\"<|im_start|> user\\n{input_text}<|im_end|>\"\"\"\n",
        "    final_prompt = system_prompt + prompt\n",
        "    inputs = tokenizer(final_prompt, return_tensors=\"pt\", add_special_tokens=False)\n",
        "    model_inputs = encodeds.to(device)\n",
        "    model.to(device)\n",
        "    outputs = model.generate(**inputs,\n",
        "                             max_length=max_length,\n",
        "                             temperature=0.1,\n",
        "                             pad_token_id = 3200,\n",
        "                             do_sample=True)\n",
        "    text = tokenizer.batch_decode(outputs)[0]\n",
        "    # text = text[len(final_prompt):] if text.startswith(final_prompt) else text\n",
        "    text = text.replace(final_prompt, '', 1)\n",
        "    wrapped_text = wrap_text(text)\n",
        "    print(wrapped_text)"
      ],
      "metadata": {
        "id": "zGG_QCVw050n"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "generate(\"Write a detailed analogy between human mind and tides on the beach\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5llpDr9m1AB8",
        "outputId": "c25fdd23-6fb7-494e-c7f1-5e202ac477a3"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "The human mind can be compared to the tides on the beach in several ways. Both the human\n",
            "mind and tides are influenced by various factors, and they exhibit a constant ebb and\n",
            "flow.\n",
            "\n",
            "1. Influence of external factors: Just as the tides on the beach are affected by the\n",
            "gravitational pull of the moon and the sun, the human mind is influenced by external\n",
            "factors such as environment, culture, and personal experiences. These factors shape our\n",
            "thoughts, emotions, and actions.\n",
            "\n",
            "2. Ebb and flow: Both the tides and the human mind exhibit a continuous cycle of ebb and\n",
            "flow. The tides rise and fall with the lunar cycle, while our thoughts and emotions\n",
            "fluctuate throughout the day, influenced by our experiences and interactions with others.\n",
            "\n",
            "3. Depth and complexity: The human mind, like the tides, has depth and complexity. The\n",
            "surface of the ocean may appear calm and tranquil, but beneath the surface, powerful\n",
            "currents and underwater features shape the tides. Similarly, the human mind has a vast and\n",
            "intricate network of thoughts, emotions, and memories that are not always visible on the\n",
            "surface.\n",
            "\n",
            "4. Unpredictability: The tides on the beach can be unpredictable, with high and low tides\n",
            "occurring at different times each day. The human mind can also be unpredictable, as our\n",
            "thoughts and emotions can change rapidly and unexpectedly, influenced by various factors.\n",
            "\n",
            "5. Interaction with the environment: The tides on the beach interact with the environment,\n",
            "shaping the landscape over time through erosion and sediment deposition. The human mind\n",
            "also interacts with the environment, both physically and socially, as we learn, grow, and\n",
            "adapt to our surroundings.\n",
            "\n",
            "6. Rhythm and patterns: Both the tides and the human mind exhibit rhythmic patterns and\n",
            "cycles. The tides follow a regular pattern, with high and low tides occurring\n",
            "approximately every 12 hours and 25 minutes. Similarly, the human mind has its own rhythm\n",
            "and patterns, with our thoughts and emotions often following a predictable cycle\n",
            "throughout the day.\n",
            "\n",
            "In conclusion, the human mind and tides on the beach share several similarities\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%%time\n",
        "generate(\"How can I prepare for UPSC Prelims exams?\",\n",
        "          system_prompt = \"You are reknowned teacher. Write out your reasoning step-by-step.\"\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vj09TiBp18Ze",
        "outputId": "0d644297-9a65-44c4-809d-cc50817aed68"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "1. Understand the syllabus: The first step in preparing for the UPSC Prelims exam is to\n",
            "understand the syllabus. The UPSC Prelims syllabus is divided into two sections: General\n",
            "Studies Paper I and General Studies Paper II. Familiarize yourself with the topics covered\n",
            "in each section and make a study plan accordingly.\n",
            "\n",
            "2. Collect study materials: Gather all the necessary study materials, including textbooks,\n",
            "reference books, and online resources. Some popular books for UPSC Prelims preparation\n",
            "include NCERT textbooks, Indian Polity by M Laxmikanth, Indian Economy by Ramesh Singh,\n",
            "and Geography of India by Majid Husain.\n",
            "\n",
            "3. Develop a study plan: Create a realistic study plan that covers all the topics in the\n",
            "syllabus. Allocate time for each subject and divide your study time into daily, weekly,\n",
            "and monthly goals. Make sure to include time for revision and practice tests.\n",
            "\n",
            "4. Focus on current affairs: Regularly read newspapers and magazines to stay updated on\n",
            "current affairs. This will help you answer questions on contemporary issues in the UPSC\n",
            "Prelims exam.\n",
            "\n",
            "5. Practice writing answers: Practice writing answers to questions based on the UPSC\n",
            "Prelims syllabus. This will help you develop your answer-writing skills and improve your\n",
            "speed and accuracy.\n",
            "\n",
            "6. Take mock tests: Regularly take mock tests to assess your progress and identify areas\n",
            "that need improvement. Analyze your performance in these tests and work on your weak\n",
            "areas.\n",
            "\n",
            "7. Revise regularly: Revision is crucial for retaining information and improving your\n",
            "performance in the UPSC Prelims exam. Make sure to revise your notes and study materials\n",
            "regularly.\n",
            "\n",
            "8. Stay motivated: Preparing for the UPSC Prelims exam can be challenging, so it's\n",
            "essential to stay motivated. Set realistic goals, track your progress, and reward yourself\n",
            "for your achievements.\n",
            "\n",
            "9. Join a coaching institute or study group: If you need additional guidance or support,\n",
            "consider joining a coaching institute or forming a study group with other UPSC aspirants.\n",
            "This can help you stay focused and motivated throughout your preparation.\n",
            "\n",
            "10. Stay\n",
            "CPU times: user 25.1 s, sys: 26.6 ms, total: 25.2 s\n",
            "Wall time: 25.1 s\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%%time\n",
        "generate(\"\"\"Alice: I am just anxious all day. Don't know why. Any suggestion? \\n\\n Bob:\"\"\",\n",
        "         system_prompt=\"You are MistralOrca, a LLM that generates great conversations. continue as Bob here\",\n",
        "         max_length=512)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i3L_jnsK3P5O",
        "outputId": "80b9d2ad-f517-4ecb-e964-97a317b1173b"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " It's completely normal to feel anxious from time to time. Anxiety can be triggered by\n",
            "various factors, such as stress, lack of sleep, or even an overactive imagination. Here\n",
            "are a few suggestions to help you manage your anxiety:\n",
            "\n",
            "1. Practice mindfulness: Focus on the present moment and try not to dwell on past events\n",
            "or future worries. Mindfulness techniques, such as deep breathing exercises, can help you\n",
            "stay grounded and calm.\n",
            "\n",
            "2. Get enough sleep: A good night's sleep is essential for maintaining a healthy mind and\n",
            "body. Aim for 7-9 hours of sleep each night and establish a consistent sleep schedule.\n",
            "\n",
            "3. Exercise regularly: Physical activity can help reduce stress and improve your overall\n",
            "mood. Aim for at least 30 minutes of moderate exercise most days of the week.\n",
            "\n",
            "4. Eat a balanced diet: A healthy diet can help support your mental well-being. Make sure\n",
            "to include plenty of fruits, vegetables, whole grains, and lean proteins in your daily\n",
            "meals.\n",
            "\n",
            "5. Limit caffeine and alcohol: Both of these substances can exacerbate anxiety symptoms.\n",
            "Try to cut back on your intake of caffeine and alcohol, or consider replacing them with\n",
            "healthier alternatives.\n",
            "\n",
            "6. Talk to someone: If your anxiety is becoming overwhelming, consider talking to a\n",
            "friend, family member, or mental health professional. Sharing your feelings can help you\n",
            "gain perspective and find ways to cope.\n",
            "\n",
            "7. Try relaxation techniques: Activities such as yoga, meditation, or progressive muscle\n",
            "relaxation can help you relax and reduce anxiety.\n",
            "\n",
            "Remember, it's important to be patient with yourself as you work on managing your anxiety.\n",
            "It may take some time to find the strategies that work best for you, but with practice and\n",
            "persistence, you can learn to better cope with your anxious feelings.<|im_end|>\n",
            "CPU times: user 21.2 s, sys: 18.3 ms, total: 21.2 s\n",
            "Wall time: 21.1 s\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%%time\n",
        "generate('Answer the following question by reasoning step by step. The cafeteria had 23 apples. If they used 20 for lunch, and bought 6 more, how many apple do they have?',\n",
        "         system_prompt=\"You are MistralOrca, a large language model trained by Alignment Lab AI. Write out your reasoning step-by-step to be sure you get the right answers!\",\n",
        "         max_length=256)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HP-F5VRn3l4R",
        "outputId": "e50ccb36-5784-4801-c09a-91f62b4a7cb3"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "Step 1: Identify the initial number of apples in the cafeteria.\n",
            "The cafeteria initially had 23 apples.\n",
            "\n",
            "Step 2: Determine the number of apples used for lunch.\n",
            "They used 20 apples for lunch.\n",
            "\n",
            "Step 3: Calculate the remaining apples after lunch.\n",
            "Subtract the number of apples used for lunch from the initial number of apples: 23 - 20 =\n",
            "3 apples remaining.\n",
            "\n",
            "Step 4: Determine the number of additional apples bought.\n",
            "They bought 6 more apples.\n",
            "\n",
            "Step 5: Calculate the total number of apples after buying more.\n",
            "Add the remaining apples and the additional apples bought: 3\n",
            "CPU times: user 8.96 s, sys: 15.6 ms, total: 8.98 s\n",
            "Wall time: 8.96 s\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "pmd3hTFI4SRG"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}