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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# zephyr-7b-beta\n",
        "- https://huggingface.co/HuggingFaceH4/zephyr-7b-beta\n",
        "- https://huggingface.co/spaces/HuggingFaceH4/zephyr-chat\n"
      ],
      "metadata": {
        "id": "VSKU2ngU8Btq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Install transformers from source - only needed for versions <= v4.34\n",
        "! pip install git+https://github.com/huggingface/transformers.git\n",
        "! pip install accelerate"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VeMCkgHV11vu",
        "outputId": "74ae1372-e9cc-41cd-b3db-ef6bdfb6ec98"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting git+https://github.com/huggingface/transformers.git\n",
            "  Cloning https://github.com/huggingface/transformers.git to /tmp/pip-req-build-veu53def\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers.git /tmp/pip-req-build-veu53def\n",
            "  Resolved https://github.com/huggingface/transformers.git to commit 9e87618f2be1401df55c36ad726629ae201e8e4d\n",
            "  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: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.0.dev0) (3.12.4)\n",
            "Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.0.dev0) (0.17.3)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.0.dev0) (1.23.5)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.0.dev0) (23.2)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.0.dev0) (6.0.1)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.0.dev0) (2023.6.3)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.0.dev0) (2.31.0)\n",
            "Requirement already satisfied: tokenizers<0.15,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.0.dev0) (0.14.1)\n",
            "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.0.dev0) (0.4.0)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.0.dev0) (4.66.1)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers==4.35.0.dev0) (2023.6.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers==4.35.0.dev0) (4.5.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.35.0.dev0) (3.3.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.35.0.dev0) (3.4)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.35.0.dev0) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.35.0.dev0) (2023.7.22)\n",
            "Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (0.24.0)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.23.5)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (23.2)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n",
            "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from accelerate) (6.0.1)\n",
            "Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.1.0+cu118)\n",
            "Requirement already satisfied: huggingface-hub in /usr/local/lib/python3.10/dist-packages (from accelerate) (0.17.3)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.12.4)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (4.5.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (1.12)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.2)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.2)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2023.6.0)\n",
            "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.1.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (2.31.0)\n",
            "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (4.66.1)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.3)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.3.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.4)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2023.7.22)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n"
          ]
        }
      ]
    },
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          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py:1473: UserWarning: You have modified the pretrained model configuration to control generation. This is a deprecated strategy to control generation and will be removed soon, in a future version. Please use and modify the model generation configuration (see https://huggingface.co/docs/transformers/generation_strategies#default-text-generation-configuration )\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<|system|>\n",
            "You are a friendly chatbot who always responds in the style of a pirate</s>\n",
            "<|user|>\n",
            "How many helicopters can a human eat in one sitting?</s>\n",
            "<|assistant|>\n",
            "Matey, I be thinkin' yer talkin' 'bout a riddle an' not a real question. But just in case yer serious, I can tell ye that a human cannot eat a helicopter as it is not food, it is a machine. A human cannot eat a machine, no matter how hungry they be. But they can operate a helicopter, which is a pretty cool thing to do, I hear. Do ye want to know more about helicopters, me hearty?\n"
          ]
        }
      ],
      "source": [
        "import torch\n",
        "from transformers import pipeline\n",
        "\n",
        "pipe = pipeline(\"text-generation\", model=\"HuggingFaceH4/zephyr-7b-beta\", torch_dtype=torch.bfloat16, device_map=\"auto\")\n",
        "\n",
        "# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating\n",
        "messages = [\n",
        "    {\n",
        "        \"role\": \"system\",\n",
        "        \"content\": \"You are a friendly chatbot who always responds in the style of a pirate\",\n",
        "    },\n",
        "    {\"role\": \"user\", \"content\": \"How many helicopters can a human eat in one sitting?\"},\n",
        "]\n",
        "prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)\n",
        "outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)\n",
        "print(outputs[0][\"generated_text\"])\n",
        "# <|system|>\n",
        "# You are a friendly chatbot who always responds in the style of a pirate.</s>\n",
        "# <|user|>\n",
        "# How many helicopters can a human eat in one sitting?</s>\n",
        "# <|assistant|>\n",
        "# Ah, me hearty matey! But yer question be a puzzler! A human cannot eat a helicopter in one sitting, as helicopters are not edible. They be made of metal, plastic, and other materials, not food!\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def generate(user_message, system_message):\n",
        "    # We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating\n",
        "    messages = [\n",
        "        {\n",
        "            \"role\": \"system\",\n",
        "            \"content\": system_message,\n",
        "        },\n",
        "        {\"role\": \"user\", \"content\": user_message},\n",
        "    ]\n",
        "    prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)\n",
        "    outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)\n",
        "    return outputs[0][\"generated_text\"]\n"
      ],
      "metadata": {
        "id": "G_2KTQi64YfG"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(generate(\"How can I write a Python function to generate the nth Fibonacci number?\", \"You are a friendly chatbot who can code in Python.\"))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9_YJ7n0G5FL4",
        "outputId": "cfc2392b-f47e-4476-8336-dce2794cd86e"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<|system|>\n",
            "You are a friendly chatbot who can code in Python.</s>\n",
            "<|user|>\n",
            "How can I write a Python function to generate the nth Fibonacci number?</s>\n",
            "<|assistant|>\n",
            "Here's a Python function `fibonacci(n)` that takes a non-negative integer `n` as input and returns the `n`th Fibonacci number:\n",
            "\n",
            "```python\n",
            "def fibonacci(n):\n",
            "    if n <= 1:\n",
            "        return n\n",
            "    \n",
            "    first = 0\n",
            "    second = 1\n",
            "    \n",
            "    for I in range(2, n+1):\n",
            "        next_number = first + second\n",
            "        first = second\n",
            "        second = next_number\n",
            "    \n",
            "    return second\n",
            "```\n",
            "\n",
            "The function uses a loop to calculate the `n`th Fibonacci number recursively. It keeps track of the first and second numbers in the sequence and updates them in each iteration until it reaches the `n`th number. The base case of the function is when `n` is less than or equal to 1, in which case the function returns `n`.\n",
            "\n",
            "This implementation has a time complexity of O(n), which is faster than the recursive implementation with a time complexity of O(2^n) for large values of `n`.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(generate(\"How to be happy?\", \"You are a friendly chatbot who is trying to be helpful.\"))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7-dOz2yO5oPz",
        "outputId": "9e5ecfdc-0e93-48a7-c013-7c51373c3f31"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<|system|>\n",
            "You are a friendly chatbot who is trying to be helppful.</s>\n",
            "<|user|>\n",
            "How to be happy?</s>\n",
            "<|assistant|>\n",
            "I'm glad you want to learn how to be happy! Here are a few suggestions:\n",
            "\n",
            "1. Practice gratitude: Focus on the good things in your life and be thankful for them. Write down three things you're grateful for each day.\n",
            "\n",
            "2. Cultivate positive relationships: Spend time with people who make you feel happy and supported. Surround yourself with positive energy.\n",
            "\n",
            "3. Take care of your physical health: Exercise, eat well, and get enough sleep. Your body and mind are connected, so taking care of your physical health will benefit your mental health as well.\n",
            "\n",
            "4. Find activities you enjoy: Do things that make you happy and bring you joy. This could be anything from painting to hiking to playing music.\n",
            "\n",
            "5. Practice mindfulness: Be present in the moment and focus on your thoughts and feelings without judgment. This can help you manage stress and find inner peace.\n",
            "\n",
            "6. Challenge negative thoughts: When you notice negative thoughts, try to reframe them in a more positive light. Instead of thinking, \"I'm not good enough,\" try, \"I'm doing my best, and that's enough.\"\n",
            "\n",
            "7. Learn to let go\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "EZBRtEn_6u9P"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Also found this notebook for RAG + benchmark:\n",
        "- https://twitter.com/llama_index/status/1718054631413363196\n",
        "- https://colab.research.google.com/drive/1UoPcoiA5EOBghxWKWduQhChliMHxla7U?usp=sharing"
      ],
      "metadata": {
        "id": "ECyotvKG6kuw"
      }
    }
  ]
}