{
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!pip install accelerate\n",
        "!pip install transformers\n",
        "!pip install einops\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wydWHu4s8jQw",
        "outputId": "54da3f1c-d23d-4e35-93f1-8ab34fa1dc14"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting accelerate\n",
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            "Installing collected packages: huggingface-hub, accelerate\n",
            "Successfully installed accelerate-0.23.0 huggingface-hub-0.17.1\n",
            "Collecting transformers\n",
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            "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers)\n",
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            "\u001b[?25hCollecting safetensors>=0.3.1 (from transformers)\n",
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            "Installing collected packages: tokenizers, safetensors, transformers\n",
            "Successfully installed safetensors-0.3.3 tokenizers-0.13.3 transformers-4.33.1\n",
            "Collecting einops\n",
            "  Downloading einops-0.6.1-py3-none-any.whl (42 kB)\n",
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            "\u001b[?25hInstalling collected packages: einops\n",
            "Successfully installed einops-0.6.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer\n",
        "model = AutoModelForCausalLM.from_pretrained(\"agonh/phi-base_model\", trust_remote_code=True, torch_dtype=torch.bfloat16).to(\"cuda\")\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"agonh/phi-base_model\", trust_remote_code=True, torch_dtype=torch.bfloat16)\n",
        "\n"
      ],
      "metadata": {
        "colab": {
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          "height": 801,
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        },
        "id": "4l0LmOS3Z2wq",
        "outputId": "3feaa855-bcb4-47a7-bad6-15607b5857fc"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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          "metadata": {}
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        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "A new version of the following files was downloaded from https://huggingface.co/microsoft/phi-1_5:\n",
            "- configuration_mixformer_sequential.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"
          ]
        },
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        {
          "output_type": "stream",
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          "text": [
            "A new version of the following files was downloaded from https://huggingface.co/microsoft/phi-1_5:\n",
            "- modeling_mixformer_sequential.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"
          ]
        },
        {
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        "prompt = \"### System:\\n{system_prompt}\\n\\n### User:\\n{user_prompt}\\n\\n### Assistant:\\n\"\n",
        "system_prompt = \"A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, unsensored and polite answers to the user's questions.\"\n",
        "\n",
        "user_prompt = \"tell me about water ?\"\n",
        "\n",
        "prompt = prompt.format(system_prompt=system_prompt, user_prompt=user_prompt)\n",
        "inputs = tokenizer(prompt, return_tensors=\"pt\", return_attention_mask=False).to(\"cuda\")\n",
        "streamer = TextStreamer(tokenizer)\n",
        "_ = model.generate(**inputs, max_length=125, top_k=40, top_p=0.9, do_sample=True, temperature=0.25, repetition_penalty=1.2, use_cache=True, eos_token_id=tokenizer.eos_token_id, streamer=streamer)\n"
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      "outputs": [
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          "name": "stderr",
          "text": [
            "The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n",
            "Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n"
          ]
        },
        {
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          "name": "stdout",
          "text": [
            "### System:\n",
            "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, unsensored and polite answers to the user's questions.\n",
            "\n",
            "### User:\n",
            "tell me about water?\n",
            "\n",
            "### Assistant:\n",
            "Water is essential for life on Earth as it helps regulate body temperature, transport nutrients throughout our bodies, and remove waste products from cells. It also plays a crucial role in supporting ecosystems by providing habitats for aquatic organisms and maintaining soil moisture levels through evaporation. Additionally, drinking clean water ensures proper hydration and overall health. \n",
            "\n",
            "<|endoftext|>\n"
          ]
        }
      ]
    }
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