FALCON_7B_HuggingFace.ipynb

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  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# **Falcon**\n",
        "\n",
        "Falcon LLM stands as a leading generative large language model (LLM), driving advancements in applications and use cases to ensure the future resilience of our global landscape. Today, our suite encompasses the Falcon 180B, 40B, 7.5B, and 1.3B parameter AI models, alongside our esteemed REFINEDWEB dataset. Positioned at the forefront of the Hugging Face Leaderboard for pre-trained Open Large Language Models, Falcon LLM is accessible for both research and commercial endeavors. Its remarkable performance spans a multitude of tasks, including reasoning, coding, proficiency, and knowledge tests, surpassing competitors such as Meta's LLaMA 2. The Falcon models are accessible via the link: https://huggingface.co/tiiuae."
      ],
      "metadata": {
        "id": "MG1GfMMAhI-C"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pPRWI8DKeyY6",
        "outputId": "b15bb102-50eb-4b9e-dc25-9225ceeeb54a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "\u001b[?25hCollecting einops\n",
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            "Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch>=1.10.0->accelerate)\n",
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            "  Downloading nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)\n",
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            "\u001b[?25hCollecting nvidia-nvtx-cu12==12.1.105 (from torch>=1.10.0->accelerate)\n",
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            "Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.10.0->accelerate)\n",
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            "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",
            "Installing collected packages: nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, einops, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12, accelerate\n",
            "Successfully installed accelerate-0.28.0 einops-0.7.0 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.19.3 nvidia-nvjitlink-cu12-12.4.99 nvidia-nvtx-cu12-12.1.105\n"
          ]
        }
      ],
      "source": [
        "!pip install transformers accelerate einops"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Load the libraries and Load the Tokenizer**"
      ],
      "metadata": {
        "id": "ADrrj71ti5uB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import AutoTokenizer, AutoModelForCausalLM\n",
        "import transformers\n",
        "import torch"
      ],
      "metadata": {
        "id": "xN8Dxf5ne3wq"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = \"tiiuae/falcon-7b\"\n",
        "\n",
        "tokenizer = AutoTokenizer.from_pretrained(model)\n",
        "\n",
        "pipeline = transformers.pipeline(\n",
        "    \"text-generation\",\n",
        "    model=model,\n",
        "    tokenizer=tokenizer,\n",
        "    torch_dtype=torch.bfloat16,\n",
        "    trust_remote_code=True,\n",
        "    device_map=\"auto\",\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 681,
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        },
        "id": "A9OtZut4jOw-",
        "outputId": "56f2e814-31fc-495d-9dd2-172663877987"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a8b4ba83181b43c6bd06fff063d373df"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
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            ],
            "application/vnd.jupyter.widget-view+json": {
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          "metadata": {}
        },
        {
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            ],
            "application/vnd.jupyter.widget-view+json": {
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          },
          "metadata": {}
        },
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            "application/vnd.jupyter.widget-view+json": {
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
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            "application/vnd.jupyter.widget-view+json": {
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "A new version of the following files was downloaded from https://huggingface.co/tiiuae/falcon-7b:\n",
            "- configuration_falcon.py\n",
            ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n",
            "WARNING:transformers_modules.tiiuae.falcon-7b.898df1396f35e447d5fe44e0a3ccaaaa69f30d36.configuration_falcon:\n",
            "WARNING: You are currently loading Falcon using legacy code contained in the model repository. Falcon has now been fully ported into the Hugging Face transformers library. For the most up-to-date and high-performance version of the Falcon model code, please update to the latest version of transformers and then load the model without the trust_remote_code=True argument.\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "A new version of the following files was downloaded from https://huggingface.co/tiiuae/falcon-7b:\n",
            "- modeling_falcon.py\n",
            ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n"
          ]
        },
        {
          "output_type": "display_data",
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          "metadata": {}
        },
        {
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
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            ],
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          "metadata": {}
        },
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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            ],
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            }
          },
          "metadata": {}
        },
        {
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prompt = \"Write  about situation of women in Afghanistan\""
      ],
      "metadata": {
        "id": "0FxiaRnIjTMu"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sequences = pipeline(\n",
        "    prompt,\n",
        "    max_length=1000,\n",
        "    do_sample=True,\n",
        "    top_k=10,\n",
        "    num_return_sequences=1,\n",
        "    eos_token_id=tokenizer.eos_token_id,\n",
        ")\n",
        "for seq in sequences:\n",
        "    print(f\"Result: {seq['generated_text']}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wR7Xzdx7qlDi",
        "outputId": "83161b27-169e-4398-ee1a-1cad3e157be2"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation=True` to explicitly truncate examples to max length. Defaulting to 'longest_first' truncation strategy. If you encode pairs of sequences (GLUE-style) with the tokenizer you can select this strategy more precisely by providing a specific strategy to `truncation`.\n",
            "Setting `pad_token_id` to `eos_token_id`:11 for open-end generation.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Result: Write  about situation of women in Afghanistan:\n",
            "“I think this is a very sensitive issue in Afghanistan that needs more discussion. In my opinion, it is not easy for women to have an independent life. They need help from their parents and relatives.\n",
            "The main reason for this is that women in Afghanistan are not allowed to go out of the house without permission. They also need the permission of their husbands to travel to other cities and villages to visit friends and relatives.\n",
            "Women in Afghanistan have less rights than men. For example, women cannot get divorced without their husband’s permission. This means that a woman can be legally trapped in an abusive marriage if her husband refuses to grant her the right to divorce.”\n",
            "Write at least 250 words.\n",
            "Answer:\n",
            "The women have less rights than men. For example, women cannot get the right to get divorced without the permission of her husband. This means that a woman can be legally trapped in abusive marriage as her husband will not grant the right to divorce. In fact, it is not easy for women to have an independent life as she needs her parent’s and relatives’ help at all.\n",
            "The main reason is because Afghanistan is a male-dominated society. The main reason for this is that women are not allowed to go out of her home without permission. Women also need the permission of her husband to travel to other cities and villages to meet their relatives and friends.\n",
            "Afghanistan is the most dangerous place to live as the suicide bombings, car bombs, roadside bombs, and the shooting are very common. Moreover, many terrorist and insurgent groups, like al-Qaeda and the Islamic State of Iraq and the Levant, continue to operate freely in Afghanistan.\n",
            "Afghanistan is very much a male-dominated society that has been for many years. It is a place where women are not allowed to have an independent life and where they have less rights than men. Moreover, it’s also dangerous to live in Afghanistan for the suicide bombings, car bombs, roadside bombs, and shooting are very common.\n"
          ]
        }
      ]
    }
  ]
}