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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.0/20.0 MB\u001b[0m \u001b[31m62.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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          ]
        }
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        "!pip install -U -q transformers https://github.com/casper-hansen/AutoAWQ/releases/download/v0.1.6/autoawq-0.1.6+cu118-cp310-cp310-linux_x86_64.whl"
      ]
    },
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        "tokenizer = AutoTokenizer.from_pretrained(model_id)\n",
        "model = AutoModelForCausalLM.from_pretrained(model_id, device_map=\"cuda:0\")"
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          "metadata": {}
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          "metadata": {}
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        {
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          "data": {
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              "model.safetensors:   0%|          | 0.00/4.15G [00:00<?, ?B/s]"
            ],
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          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prompt = \"Tell me a lame joke about Machine Learning Engineers?\"\n",
        "\n",
        "prompt_template = f'''<|system|>\n",
        "</s>\n",
        "<|user|>\n",
        "{prompt}</s>\n",
        "<|assistant|>\n",
        "'''"
      ],
      "metadata": {
        "id": "3FJCuue2xkq1"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "input_ids = tokenizer(prompt_template, return_tensors=\"pt\").to(\"cuda:0\")"
      ],
      "metadata": {
        "id": "uT3_VtZZyb9b"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "output = model.generate(**input_ids, do_sample=True, max_new_tokens=300)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "s_68_aCYypWX",
        "outputId": "1c28ebb0-a19d-4a2e-d918-8fea5e9f668b"
      },
      "execution_count": 5,
      "outputs": [
        {
          "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"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(tokenizer.decode(output[0], skip_special_tokens=True))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0oK0EWoHywWD",
        "outputId": "fd9a1c93-ab20-4864-94e2-5290de5ab0f4"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<|system|>\n",
            " \n",
            "<|user|>\n",
            "Tell me a lame joke about Machine Learning Engineers? \n",
            "<|assistant|>\n",
            "Why did the Machine Learning Engineer bring a calculator to a party?\n",
            "\n",
            "To impress the other guests with his high accuracy in predicting the number of drinks needed.\n",
            "\n",
            "But sadly, no one at the party seemed to find him as entertaining as his jokes about overfitting and undergeneralizing.\n",
            "\n",
            "(Not really a joke, but perhaps a pun.)\n"
          ]
        }
      ]
    }
  ]
}