{
  "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": "98d45a66-25af-4c14-e7d5-1106653f5932"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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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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            "\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",
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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-1_5\", trust_remote_code=True, torch_dtype=torch.bfloat16).to(\"cuda\")\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"agonh/phi-1_5\", 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": "88d74f9f-6187-472e-ffb9-b54b37de0986"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
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          "metadata": {}
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          "metadata": {}
        },
        {
          "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"
          ]
        },
        {
          "output_type": "display_data",
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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 moon ?\"\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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          "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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            "### 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 moon?\n",
            "\n",
            "### Assistant:\n",
            "The moon is Earth’s natural satellite that orbits around our planet in approximately 27 days or one month-long period of time. It has been studied by scientists for centuries due to its unique properties such as gravity affecting tides on Earth which can be felt all over the world! \n",
            "\n",
            "<|endoftext|>\n"
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