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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m104.3/104.3 MB\u001b[0m \u001b[31m15.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[?25h  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",
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            "\u001b[?25h  Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
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            "\u001b[?25h  Building wheel for peft (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "\u001b[?25h  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ],
      "source": [
        "!pip install -q bitsandbytes\n",
        "!pip install -q datasets loralib sentencepiece\n",
        "!pip install -q git+https://github.com/huggingface/transformers.git\n",
        "!pip install -q git+https://github.com/huggingface/peft.git\n",
        "!pip install -q gradio"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# import torch\n",
        "from peft import PeftModel\n",
        "# from transformers import LlamaTokenizer, LlamaForCausalLM, GenerationConfig\n",
        "\n",
        "\n",
        "import torch\n",
        "# from peft import PeftModel\n",
        "import transformers\n",
        "import gradio as gr\n",
        "\n",
        "assert (\n",
        "    \"LlamaTokenizer\" in transformers._import_structure[\"models.llama\"]\n",
        "), \"LLaMA is now in HuggingFace's main branch.\\nPlease reinstall it: pip uninstall transformers && pip install git+https://github.com/huggingface/transformers.git\"\n",
        "from transformers import LlamaTokenizer, LlamaForCausalLM, GenerationConfig\n",
        "\n",
        "tokenizer = LlamaTokenizer.from_pretrained(\"decapoda-research/llama-7b-hf\")\n",
        "\n",
        "BASE_MODEL = \"decapoda-research/llama-7b-hf\"\n",
        "LORA_WEIGHTS = \"OdiaGenAI/odiagenAI-model-v0\"\n",
        "\n",
        "if torch.cuda.is_available():\n",
        "    device = \"cuda\"\n",
        "else:\n",
        "    device = \"cpu\"\n",
        "\n",
        "try:\n",
        "    if torch.backends.mps.is_available():\n",
        "        device = \"mps\"\n",
        "except:\n",
        "    pass\n",
        "\n",
        "if device == \"cuda\":\n",
        "    model = LlamaForCausalLM.from_pretrained(\n",
        "        BASE_MODEL,\n",
        "        load_in_8bit=False,\n",
        "        torch_dtype=torch.float16,\n",
        "        device_map=\"auto\",\n",
        "    )\n",
        "    model = PeftModel.from_pretrained(\n",
        "        model, LORA_WEIGHTS, torch_dtype=torch.float16, force_download=True\n",
        "    )\n",
        "elif device == \"mps\":\n",
        "    model = LlamaForCausalLM.from_pretrained(\n",
        "        BASE_MODEL,\n",
        "        device_map={\"\": device},\n",
        "        torch_dtype=torch.float16,\n",
        "    )\n",
        "    model = PeftModel.from_pretrained(\n",
        "        model,\n",
        "        LORA_WEIGHTS,\n",
        "        device_map={\"\": device},\n",
        "        torch_dtype=torch.float16,\n",
        "    )\n",
        "else:\n",
        "    model = LlamaForCausalLM.from_pretrained(\n",
        "        BASE_MODEL, device_map={\"\": device}, low_cpu_mem_usage=True\n",
        "    )\n",
        "    model = PeftModel.from_pretrained(\n",
        "        model,\n",
        "        LORA_WEIGHTS,\n",
        "        device_map={\"\": device},\n",
        "    )\n",
        "\n",
        "\n",
        "\n",
        "def generate_prompt(instruction, input=None):\n",
        "    if input:\n",
        "        return f\"\"\"ନିମ୍ନରେ ଏକ ନିର୍ଦ୍ଦେଶନାମା ଯାହାକି ଏକ କାର୍ଯ୍ୟକୁ ବର୍ଣ୍ଣନା କରେ, ଏକ ଇନପୁଟ୍ ସହିତ ଯୋଡି ଯାହା ପରବର୍ତ୍ତୀ ପ୍ରସଙ୍ଗ ପ୍ରଦାନ କରେ | ଏକ ପ୍ରତିକ୍ରିୟା ଲେଖନ୍ତୁ ଯାହା ଅନୁରୋଧକୁ ସଠିକ୍ ଭାବରେ ସମାପ୍ତ କରେ |\n",
        "### ନିର୍ଦ୍ଦେଶ:\n",
        "{instruction}\n",
        "### ଇନପୁଟ୍:\n",
        "{input}\n",
        "### ପ୍ରତିକ୍ରିୟା:\"\"\"\n",
        "    else:\n",
        "        return f\"\"\"ନିମ୍ନରେ ଏକ ନିର୍ଦ୍ଦେଶ ଯାହାକି ଏକ କାର୍ଯ୍ୟକୁ ବର୍ଣ୍ଣନା କରେ | ଏକ ପ୍ରତିକ୍ରିୟା ଲେଖନ୍ତୁ ଯାହା ଅନୁରୋଧକୁ ସଠିକ୍ ଭାବରେ ସମାପ୍ତ କରେ |\n",
        "### ନିର୍ଦ୍ଦେଶ:\n",
        "{instruction}\n",
        "### ପ୍ରତିକ୍ରିୟା:\"\"\"\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "if device != \"cpu\":\n",
        "    model.half()\n",
        "model.eval()\n",
        "if torch.__version__ >= \"2\":\n",
        "    model = torch.compile(model)\n",
        "\n",
        "\n",
        "def evaluate(\n",
        "    instruction,\n",
        "    input=None,\n",
        "    temperature=0.1,\n",
        "    top_p=0.75,\n",
        "    top_k=40,\n",
        "    num_beams=4,\n",
        "    max_new_tokens=128,\n",
        "    **kwargs,\n",
        "):\n",
        "    prompt = generate_prompt(instruction, input)\n",
        "    print(prompt)\n",
        "    inputs = tokenizer(prompt, return_tensors=\"pt\")\n",
        "    print(inputs)\n",
        "    input_ids = inputs[\"input_ids\"].to(device)\n",
        "    print(input_ids)\n",
        "    generation_config = GenerationConfig(\n",
        "        temperature=temperature,\n",
        "        top_p=top_p,\n",
        "        top_k=top_k,\n",
        "        num_beams=num_beams,\n",
        "        **kwargs,\n",
        "    )\n",
        "    with torch.no_grad():\n",
        "        generation_output = model.generate(\n",
        "            input_ids=input_ids,\n",
        "            generation_config=generation_config,\n",
        "            return_dict_in_generate=True,\n",
        "            output_scores=True,\n",
        "            max_new_tokens=max_new_tokens,\n",
        "        )\n",
        "        print(generation_output)\n",
        "    s = generation_output.sequences[0]\n",
        "    print(s)\n",
        "    output = tokenizer.decode(s)\n",
        "    print(output)\n",
        "    return output.split(\"### ପ୍ରତିକ୍ରିୟା:\")[1].strip()\n",
        "\n",
        "\n",
        "g = gr.Interface(\n",
        "    fn=evaluate,\n",
        "    inputs=[\n",
        "        gr.components.Textbox(\n",
        "            lines=2, label=\"Instruction\", placeholder=\"Tell me about alpacas.\"\n",
        "        ),\n",
        "        gr.components.Textbox(lines=2, label=\"Input\", placeholder=\"none\"),\n",
        "        gr.components.Slider(minimum=0, maximum=1, value=0.1, label=\"Temperature\"),\n",
        "        gr.components.Slider(minimum=0, maximum=1, value=0.75, label=\"Top p\"),\n",
        "        gr.components.Slider(minimum=0, maximum=100, step=1, value=40, label=\"Top k\"),\n",
        "        gr.components.Slider(minimum=1, maximum=4, step=1, value=4, label=\"Beams\"),\n",
        "        gr.components.Slider(\n",
        "            minimum=1, maximum=512, step=1, value=128, label=\"Max tokens\"\n",
        "        ),\n",
        "    ],\n",
        "    outputs=[\n",
        "        gr.inputs.Textbox(\n",
        "            lines=5,\n",
        "            label=\"Output\",\n",
        "        )\n",
        "    ],\n",
        "    title=\"🦙🌲 OdiaGenAI-LoRA\",\n",
        "    description=\"OdiaGenAI-LoRA is a 7B-parameter LLaMA model finetuned to follow Odia instructions. It is trained on the [Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) Odia translated dataset and makes use of the Huggingface LLaMA implementation. For more information, please visit [the project's website](https://www.odiagenai.org/).\",\n",
        ")\n",
        "g.queue(concurrency_count=1)\n",
        "g.launch(debug=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "===================================BUG REPORT===================================\n",
            "Welcome to bitsandbytes. For bug reports, please run\n",
            "\n",
            "python -m bitsandbytes\n",
            "\n",
            " and submit this information together with your error trace to: https://github.com/TimDettmers/bitsandbytes/issues\n",
            "================================================================================\n",
            "bin /usr/local/lib/python3.9/dist-packages/bitsandbytes/libbitsandbytes_cpu.so\n",
            "CUDA SETUP: Loading binary /usr/local/lib/python3.9/dist-packages/bitsandbytes/libbitsandbytes_cpu.so...\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.9/dist-packages/bitsandbytes/cextension.py:33: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
            "  warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n"
          ]
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          "text": [
            "The tokenizer class you load from this checkpoint is not the same type as the class this function is called from. It may result in unexpected tokenization. \n",
            "The tokenizer class you load from this checkpoint is 'LLaMATokenizer'. \n",
            "The class this function is called from is 'LlamaTokenizer'.\n"
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            "/usr/local/lib/python3.9/dist-packages/gradio/inputs.py:27: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.9/dist-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
            "  warnings.warn(value)\n",
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            "  warnings.warn(value)\n"
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          "text": [
            "Setting queue=True in a Colab notebook requires sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n",
            "\n",
            "Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n",
            "Running on public URL: https://d7f1f8bf2efbab2f8a.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces\n"
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          "text": [
            "ନିମ୍ନରେ ଏକ ନିର୍ଦ୍ଦେଶ ଯାହାକି ଏକ କାର୍ଯ୍ୟକୁ ବର୍ଣ୍ଣନା କରେ | ଏକ ପ୍ରତିକ୍ରିୟା ଲେଖନ୍ତୁ ଯାହା ଅନୁରୋଧକୁ ସଠିକ୍ ଭାବରେ ସମାପ୍ତ କରେ |\n",
            "### ନିର୍ଦ୍ଦେଶ:\n",
            "ଭାରତ ବିଷୟରେ ବର୍ଣ୍ଣନା କର |\n",
            "### ପ୍ରତିକ୍ରିୟା:\n",
            "{'input_ids': tensor([[    0, 29871,   227,   175,   171,   227,   175,   194,   227,   175,\n",
            "           177,   227,   176,   144,   227,   175,   171,   227,   175,   179,\n",
            "           227,   176,   138, 29871,   227,   175,   146,   227,   175,   152,\n",
            "         29871,   227,   175,   171,   227,   175,   194,   227,   175,   179,\n",
            "           227,   176,   144,   227,   175,   169,   227,   176,   144,   227,\n",
            "           175,   169,   227,   176,   138,   227,   175,   185, 29871,   227,\n",
            "           175,   178,   227,   175,   193,   227,   175,   188,   227,   175,\n",
            "           193,   227,   175,   152,   227,   175,   194, 29871,   227,   175,\n",
            "           146,   227,   175,   152, 29871,   227,   175,   152,   227,   175,\n",
            "           193,   227,   175,   179,   227,   176,   144,   227,   175,   178,\n",
            "           227,   176,   144,   227,   176,   162,   227,   175,   152,   227,\n",
            "           176,   132, 29871,   227,   175,   175,   227,   175,   179,   227,\n",
            "           176,   144,   227,   175,   166,   227,   176,   144,   227,   175,\n",
            "           166,   227,   175,   171,   227,   175,   193, 29871,   227,   175,\n",
            "           152,   227,   175,   179,   227,   176,   138,   891, 29871,   227,\n",
            "           175,   146,   227,   175,   152, 29871,   227,   175,   173,   227,\n",
            "           176,   144,   227,   175,   179,   227,   175,   167,   227,   175,\n",
            "           194,   227,   175,   152,   227,   176,   144,   227,   175,   179,\n",
            "           227,   175,   194,   227,   176,   162,   227,   175,   193, 29871,\n",
            "           227,   175,   181,   227,   176,   138,   227,   175,   153,   227,\n",
            "           175,   171,   227,   176,   144,   227,   175,   167,   227,   176,\n",
            "           132, 29871,   227,   175,   178,   227,   175,   193,   227,   175,\n",
            "           188,   227,   175,   193, 29871,   227,   175,   136,   227,   175,\n",
            "           171,   227,   176,   132,   227,   175,   179,   227,   176,   142,\n",
            "           227,   175,   170,   227,   175,   152,   227,   176,   132, 29871,\n",
            "           227,   175,   187,   227,   175,   163,   227,   175,   194,   227,\n",
            "           175,   152,   227,   176,   144, 29871,   227,   175,   176,   227,\n",
            "           175,   193,   227,   175,   175,   227,   175,   179,   227,   176,\n",
            "           138, 29871,   227,   175,   187,   227,   175,   177,   227,   175,\n",
            "           193,   227,   175,   173,   227,   176,   144,   227,   175,   167,\n",
            "         29871,   227,   175,   152,   227,   175,   179,   227,   176,   138,\n",
            "           891,    13,  2277, 29937, 29871,   227,   175,   171,   227,   175,\n",
            "           194,   227,   175,   179,   227,   176,   144,   227,   175,   169,\n",
            "           227,   176,   144,   227,   175,   169,   227,   176,   138,   227,\n",
            "           175,   185, 29901,    13,   227,   175,   176,   227,   175,   193,\n",
            "           227,   175,   179,   227,   175,   167, 29871,   227,   175,   175,\n",
            "           227,   175,   194,   227,   175,   186,   227,   176,   162,   227,\n",
            "           175,   179,   227,   176,   138, 29871,   227,   175,   175,   227,\n",
            "           175,   179,   227,   176,   144,   227,   175,   166,   227,   176,\n",
            "           144,   227,   175,   166,   227,   175,   171,   227,   175,   193,\n",
            "         29871,   227,   175,   152,   227,   175,   179,   891,    13,  2277,\n",
            "         29937, 29871,   227,   175,   173,   227,   176,   144,   227,   175,\n",
            "           179,   227,   175,   167,   227,   175,   194,   227,   175,   152,\n",
            "           227,   176,   144,   227,   175,   179,   227,   175,   194,   227,\n",
            "           176,   162,   227,   175,   193, 29901]]), 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])}\n",
            "tensor([[    0, 29871,   227,   175,   171,   227,   175,   194,   227,   175,\n",
            "           177,   227,   176,   144,   227,   175,   171,   227,   175,   179,\n",
            "           227,   176,   138, 29871,   227,   175,   146,   227,   175,   152,\n",
            "         29871,   227,   175,   171,   227,   175,   194,   227,   175,   179,\n",
            "           227,   176,   144,   227,   175,   169,   227,   176,   144,   227,\n",
            "           175,   169,   227,   176,   138,   227,   175,   185, 29871,   227,\n",
            "           175,   178,   227,   175,   193,   227,   175,   188,   227,   175,\n",
            "           193,   227,   175,   152,   227,   175,   194, 29871,   227,   175,\n",
            "           146,   227,   175,   152, 29871,   227,   175,   152,   227,   175,\n",
            "           193,   227,   175,   179,   227,   176,   144,   227,   175,   178,\n",
            "           227,   176,   144,   227,   176,   162,   227,   175,   152,   227,\n",
            "           176,   132, 29871,   227,   175,   175,   227,   175,   179,   227,\n",
            "           176,   144,   227,   175,   166,   227,   176,   144,   227,   175,\n",
            "           166,   227,   175,   171,   227,   175,   193, 29871,   227,   175,\n",
            "           152,   227,   175,   179,   227,   176,   138,   891, 29871,   227,\n",
            "           175,   146,   227,   175,   152, 29871,   227,   175,   173,   227,\n",
            "           176,   144,   227,   175,   179,   227,   175,   167,   227,   175,\n",
            "           194,   227,   175,   152,   227,   176,   144,   227,   175,   179,\n",
            "           227,   175,   194,   227,   176,   162,   227,   175,   193, 29871,\n",
            "           227,   175,   181,   227,   176,   138,   227,   175,   153,   227,\n",
            "           175,   171,   227,   176,   144,   227,   175,   167,   227,   176,\n",
            "           132, 29871,   227,   175,   178,   227,   175,   193,   227,   175,\n",
            "           188,   227,   175,   193, 29871,   227,   175,   136,   227,   175,\n",
            "           171,   227,   176,   132,   227,   175,   179,   227,   176,   142,\n",
            "           227,   175,   170,   227,   175,   152,   227,   176,   132, 29871,\n",
            "           227,   175,   187,   227,   175,   163,   227,   175,   194,   227,\n",
            "           175,   152,   227,   176,   144, 29871,   227,   175,   176,   227,\n",
            "           175,   193,   227,   175,   175,   227,   175,   179,   227,   176,\n",
            "           138, 29871,   227,   175,   187,   227,   175,   177,   227,   175,\n",
            "           193,   227,   175,   173,   227,   176,   144,   227,   175,   167,\n",
            "         29871,   227,   175,   152,   227,   175,   179,   227,   176,   138,\n",
            "           891,    13,  2277, 29937, 29871,   227,   175,   171,   227,   175,\n",
            "           194,   227,   175,   179,   227,   176,   144,   227,   175,   169,\n",
            "           227,   176,   144,   227,   175,   169,   227,   176,   138,   227,\n",
            "           175,   185, 29901,    13,   227,   175,   176,   227,   175,   193,\n",
            "           227,   175,   179,   227,   175,   167, 29871,   227,   175,   175,\n",
            "           227,   175,   194,   227,   175,   186,   227,   176,   162,   227,\n",
            "           175,   179,   227,   176,   138, 29871,   227,   175,   175,   227,\n",
            "           175,   179,   227,   176,   144,   227,   175,   166,   227,   176,\n",
            "           144,   227,   175,   166,   227,   175,   171,   227,   175,   193,\n",
            "         29871,   227,   175,   152,   227,   175,   179,   891,    13,  2277,\n",
            "         29937, 29871,   227,   175,   173,   227,   176,   144,   227,   175,\n",
            "           179,   227,   175,   167,   227,   175,   194,   227,   175,   152,\n",
            "           227,   176,   144,   227,   175,   179,   227,   175,   194,   227,\n",
            "           176,   162,   227,   175,   193, 29901]])\n",
            "BeamSearchDecoderOnlyOutput(sequences=tensor([[    0, 29871,   227,   175,   171,   227,   175,   194,   227,   175,\n",
            "           177,   227,   176,   144,   227,   175,   171,   227,   175,   179,\n",
            "           227,   176,   138, 29871,   227,   175,   146,   227,   175,   152,\n",
            "         29871,   227,   175,   171,   227,   175,   194,   227,   175,   179,\n",
            "           227,   176,   144,   227,   175,   169,   227,   176,   144,   227,\n",
            "           175,   169,   227,   176,   138,   227,   175,   185, 29871,   227,\n",
            "           175,   178,   227,   175,   193,   227,   175,   188,   227,   175,\n",
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            "        [-27.0652, -28.6610, -16.0784,  ..., -21.9743, -23.6572, -22.5568],\n",
            "        [-23.4631, -30.4774, -10.0620,  ..., -17.0221, -18.1257, -16.3611],\n",
            "        [-27.8967, -34.4380, -24.2564,  ..., -25.1251, -23.8655, -26.2566]]), tensor([[-28.6674, -35.5434, -25.2063,  ..., -24.6496, -25.6699, -27.0029],\n",
            "        [-28.1863, -34.9035, -23.1685,  ..., -24.3082, -25.8394, -24.9341],\n",
            "        [-25.7176, -32.8914, -27.5884,  ..., -23.1172, -21.6604, -23.7985],\n",
            "        [-20.4299, -25.7915, -30.8234,  ..., -18.2298, -17.9466, -18.8084]])), beam_indices=tensor([[ 0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
            "          0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
            "          0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
            "          1,  1,  1,  1,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
            "          1,  1,  1,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
            "          0,  0,  0,  0,  0,  0,  0,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  0,\n",
            "          0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
            "          0,  0, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1]]), attentions=None, hidden_states=None)\n",
            "tensor([    0, 29871,   227,   175,   171,   227,   175,   194,   227,   175,\n",
            "          177,   227,   176,   144,   227,   175,   171,   227,   175,   179,\n",
            "          227,   176,   138, 29871,   227,   175,   146,   227,   175,   152,\n",
            "        29871,   227,   175,   171,   227,   175,   194,   227,   175,   179,\n",
            "          227,   176,   144,   227,   175,   169,   227,   176,   144,   227,\n",
            "          175,   169,   227,   176,   138,   227,   175,   185, 29871,   227,\n",
            "          175,   178,   227,   175,   193,   227,   175,   188,   227,   175,\n",
            "          193,   227,   175,   152,   227,   175,   194, 29871,   227,   175,\n",
            "          146,   227,   175,   152, 29871,   227,   175,   152,   227,   175,\n",
            "          193,   227,   175,   179,   227,   176,   144,   227,   175,   178,\n",
            "          227,   176,   144,   227,   176,   162,   227,   175,   152,   227,\n",
            "          176,   132, 29871,   227,   175,   175,   227,   175,   179,   227,\n",
            "          176,   144,   227,   175,   166,   227,   176,   144,   227,   175,\n",
            "          166,   227,   175,   171,   227,   175,   193, 29871,   227,   175,\n",
            "          152,   227,   175,   179,   227,   176,   138,   891, 29871,   227,\n",
            "          175,   146,   227,   175,   152, 29871,   227,   175,   173,   227,\n",
            "          176,   144,   227,   175,   179,   227,   175,   167,   227,   175,\n",
            "          194,   227,   175,   152,   227,   176,   144,   227,   175,   179,\n",
            "          227,   175,   194,   227,   176,   162,   227,   175,   193, 29871,\n",
            "          227,   175,   181,   227,   176,   138,   227,   175,   153,   227,\n",
            "          175,   171,   227,   176,   144,   227,   175,   167,   227,   176,\n",
            "          132, 29871,   227,   175,   178,   227,   175,   193,   227,   175,\n",
            "          188,   227,   175,   193, 29871,   227,   175,   136,   227,   175,\n",
            "          171,   227,   176,   132,   227,   175,   179,   227,   176,   142,\n",
            "          227,   175,   170,   227,   175,   152,   227,   176,   132, 29871,\n",
            "          227,   175,   187,   227,   175,   163,   227,   175,   194,   227,\n",
            "          175,   152,   227,   176,   144, 29871,   227,   175,   176,   227,\n",
            "          175,   193,   227,   175,   175,   227,   175,   179,   227,   176,\n",
            "          138, 29871,   227,   175,   187,   227,   175,   177,   227,   175,\n",
            "          193,   227,   175,   173,   227,   176,   144,   227,   175,   167,\n",
            "        29871,   227,   175,   152,   227,   175,   179,   227,   176,   138,\n",
            "          891,    13,  2277, 29937, 29871,   227,   175,   171,   227,   175,\n",
            "          194,   227,   175,   179,   227,   176,   144,   227,   175,   169,\n",
            "          227,   176,   144,   227,   175,   169,   227,   176,   138,   227,\n",
            "          175,   185, 29901,    13,   227,   175,   176,   227,   175,   193,\n",
            "          227,   175,   179,   227,   175,   167, 29871,   227,   175,   175,\n",
            "          227,   175,   194,   227,   175,   186,   227,   176,   162,   227,\n",
            "          175,   179,   227,   176,   138, 29871,   227,   175,   175,   227,\n",
            "          175,   179,   227,   176,   144,   227,   175,   166,   227,   176,\n",
            "          144,   227,   175,   166,   227,   175,   171,   227,   175,   193,\n",
            "        29871,   227,   175,   152,   227,   175,   179,   891,    13,  2277,\n",
            "        29937, 29871,   227,   175,   173,   227,   176,   144,   227,   175,\n",
            "          179,   227,   175,   167,   227,   175,   194,   227,   175,   152,\n",
            "          227,   176,   144,   227,   175,   179,   227,   175,   194,   227,\n",
            "          176,   162,   227,   175,   193, 29901,    13,   227,   175,   176,\n",
            "          227,   175,   193,   227,   175,   179,   227,   175,   167, 29871,\n",
            "          227,   175,   175,   227,   175,   194,   227,   175,   186,   227,\n",
            "          176,   162,   227,   175,   179,   227,   176,   138, 29871,   227,\n",
            "          175,   175,   227,   175,   179,   227,   176,   144,   227,   175,\n",
            "          166,   227,   176,   144,   227,   175,   166,   227,   175,   171,\n",
            "          227,   175,   193, 29871,   227,   175,   152,   227,   175,   179,\n",
            "          891,    13,  2277, 29937, 29871,   227,   175,   171,   227,   175,\n",
            "          194,   227,   175,   179,   227,   176,   144,   227,   175,   169,\n",
            "          227,   176,   144,   227,   175,   169,   227,   176,   138,   227,\n",
            "          175,   185, 29901,    13,   227,   175,   176,   227,   175,   193,\n",
            "          227,   175,   179,   227,   175,   167, 29871,   227,   175,   175,\n",
            "          227,   175,   194,   227,   175,   186,   227,   176,   162,   227,\n",
            "          175,   179,   227,   176])\n",
            " ⁇  ନିମ୍ନରେ ଏକ ନିର୍ଦ୍ଦେଶ ଯାହାକି ଏକ କାର୍ଯ୍ୟକୁ ବର୍ଣ୍ଣନା କରେ | ଏକ ପ୍ରତିକ୍ରିୟା ଲେଖନ୍ତୁ ଯାହା ଅନୁରୋଧକୁ ସଠିକ୍ ଭାବରେ ସମାପ୍ତ କରେ |\n",
            "### ନିର୍ଦ୍ଦେଶ:\n",
            "ଭାରତ ବିଷୟରେ ବର୍ଣ୍ଣନା କର |\n",
            "### ପ୍ରତିକ୍ରିୟା:\n",
            "ଭାରତ ବିଷୟରେ ବର୍ଣ୍ଣନା କର |\n",
            "### ନିର୍ଦ୍ଦେଶ:\n",
            "ଭାରତ ବିଷୟର��\n",
            "ନିମ୍ନରେ ଏକ ନିର୍ଦ୍ଦେଶ ଯାହାକି ଏକ କାର୍ଯ୍ୟକୁ ବର୍ଣ୍ଣନା କରେ | ଏକ ପ୍ରତିକ୍ରିୟା ଲେଖନ୍ତୁ ଯାହା ଅନୁରୋଧକୁ ସଠିକ୍ ଭାବରେ ସମାପ୍ତ କରେ |\n",
            "### ନିର୍ଦ୍ଦେଶ:\n",
            "ସପ୍ତାହରେ କେତେ ଦିନ?\n",
            "### ପ୍ରତିକ୍ରିୟା:\n",
            "{'input_ids': tensor([[    0, 29871,   227,   175,   171,   227,   175,   194,   227,   175,\n",
            "           177,   227,   176,   144,   227,   175,   171,   227,   175,   179,\n",
            "           227,   176,   138, 29871,   227,   175,   146,   227,   175,   152,\n",
            "         29871,   227,   175,   171,   227,   175,   194,   227,   175,   179,\n",
            "           227,   176,   144,   227,   175,   169,   227,   176,   144,   227,\n",
            "           175,   169,   227,   176,   138,   227,   175,   185, 29871,   227,\n",
            "           175,   178,   227,   175,   193,   227,   175,   188,   227,   175,\n",
            "           193,   227,   175,   152,   227,   175,   194, 29871,   227,   175,\n",
            "           146,   227,   175,   152, 29871,   227,   175,   152,   227,   175,\n",
            "           193,   227,   175,   179,   227,   176,   144,   227,   175,   178,\n",
            "           227,   176,   144,   227,   176,   162,   227,   175,   152,   227,\n",
            "           176,   132, 29871,   227,   175,   175,   227,   175,   179,   227,\n",
            "           176,   144,   227,   175,   166,   227,   176,   144,   227,   175,\n",
            "           166,   227,   175,   171,   227,   175,   193, 29871,   227,   175,\n",
            "           152,   227,   175,   179,   227,   176,   138,   891, 29871,   227,\n",
            "           175,   146,   227,   175,   152, 29871,   227,   175,   173,   227,\n",
            "           176,   144,   227,   175,   179,   227,   175,   167,   227,   175,\n",
            "           194,   227,   175,   152,   227,   176,   144,   227,   175,   179,\n",
            "           227,   175,   194,   227,   176,   162,   227,   175,   193, 29871,\n",
            "           227,   175,   181,   227,   176,   138,   227,   175,   153,   227,\n",
            "           175,   171,   227,   176,   144,   227,   175,   167,   227,   176,\n",
            "           132, 29871,   227,   175,   178,   227,   175,   193,   227,   175,\n",
            "           188,   227,   175,   193, 29871,   227,   175,   136,   227,   175,\n",
            "           171,   227,   176,   132,   227,   175,   179,   227,   176,   142,\n",
            "           227,   175,   170,   227,   175,   152,   227,   176,   132, 29871,\n",
            "           227,   175,   187,   227,   175,   163,   227,   175,   194,   227,\n",
            "           175,   152,   227,   176,   144, 29871,   227,   175,   176,   227,\n",
            "           175,   193,   227,   175,   175,   227,   175,   179,   227,   176,\n",
            "           138, 29871,   227,   175,   187,   227,   175,   177,   227,   175,\n",
            "           193,   227,   175,   173,   227,   176,   144,   227,   175,   167,\n",
            "         29871,   227,   175,   152,   227,   175,   179,   227,   176,   138,\n",
            "           891,    13,  2277, 29937, 29871,   227,   175,   171,   227,   175,\n",
            "           194,   227,   175,   179,   227,   176,   144,   227,   175,   169,\n",
            "           227,   176,   144,   227,   175,   169,   227,   176,   138,   227,\n",
            "           175,   185, 29901,    13,   227,   175,   187,   227,   175,   173,\n",
            "           227,   176,   144,   227,   175,   167,   227,   175,   193,   227,\n",
            "           175,   188,   227,   175,   179,   227,   176,   138, 29871,   227,\n",
            "           175,   152,   227,   176,   138,   227,   175,   167,   227,   176,\n",
            "           138, 29871,   227,   175,   169,   227,   175,   194,   227,   175,\n",
            "           171, 29973,    13,  2277, 29937, 29871,   227,   175,   173,   227,\n",
            "           176,   144,   227,   175,   179,   227,   175,   167,   227,   175,\n",
            "           194,   227,   175,   152,   227,   176,   144,   227,   175,   179,\n",
            "           227,   175,   194,   227,   176,   162,   227,   175,   193, 29901]]), 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
            "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])}\n",
            "tensor([[    0, 29871,   227,   175,   171,   227,   175,   194,   227,   175,\n",
            "           177,   227,   176,   144,   227,   175,   171,   227,   175,   179,\n",
            "           227,   176,   138, 29871,   227,   175,   146,   227,   175,   152,\n",
            "         29871,   227,   175,   171,   227,   175,   194,   227,   175,   179,\n",
            "           227,   176,   144,   227,   175,   169,   227,   176,   144,   227,\n",
            "           175,   169,   227,   176,   138,   227,   175,   185, 29871,   227,\n",
            "           175,   178,   227,   175,   193,   227,   175,   188,   227,   175,\n",
            "           193,   227,   175,   152,   227,   175,   194, 29871,   227,   175,\n",
            "           146,   227,   175,   152, 29871,   227,   175,   152,   227,   175,\n",
            "           193,   227,   175,   179,   227,   176,   144,   227,   175,   178,\n",
            "           227,   176,   144,   227,   176,   162,   227,   175,   152,   227,\n",
            "           176,   132, 29871,   227,   175,   175,   227,   175,   179,   227,\n",
            "           176,   144,   227,   175,   166,   227,   176,   144,   227,   175,\n",
            "           166,   227,   175,   171,   227,   175,   193, 29871,   227,   175,\n",
            "           152,   227,   175,   179,   227,   176,   138,   891, 29871,   227,\n",
            "           175,   146,   227,   175,   152, 29871,   227,   175,   173,   227,\n",
            "           176,   144,   227,   175,   179,   227,   175,   167,   227,   175,\n",
            "           194,   227,   175,   152,   227,   176,   144,   227,   175,   179,\n",
            "           227,   175,   194,   227,   176,   162,   227,   175,   193, 29871,\n",
            "           227,   175,   181,   227,   176,   138,   227,   175,   153,   227,\n",
            "           175,   171,   227,   176,   144,   227,   175,   167,   227,   176,\n",
            "           132, 29871,   227,   175,   178,   227,   175,   193,   227,   175,\n",
            "           188,   227,   175,   193, 29871,   227,   175,   136,   227,   175,\n",
            "           171,   227,   176,   132,   227,   175,   179,   227,   176,   142,\n",
            "           227,   175,   170,   227,   175,   152,   227,   176,   132, 29871,\n",
            "           227,   175,   187,   227,   175,   163,   227,   175,   194,   227,\n",
            "           175,   152,   227,   176,   144, 29871,   227,   175,   176,   227,\n",
            "           175,   193,   227,   175,   175,   227,   175,   179,   227,   176,\n",
            "           138, 29871,   227,   175,   187,   227,   175,   177,   227,   175,\n",
            "           193,   227,   175,   173,   227,   176,   144,   227,   175,   167,\n",
            "         29871,   227,   175,   152,   227,   175,   179,   227,   176,   138,\n",
            "           891,    13,  2277, 29937, 29871,   227,   175,   171,   227,   175,\n",
            "           194,   227,   175,   179,   227,   176,   144,   227,   175,   169,\n",
            "           227,   176,   144,   227,   175,   169,   227,   176,   138,   227,\n",
            "           175,   185, 29901,    13,   227,   175,   187,   227,   175,   173,\n",
            "           227,   176,   144,   227,   175,   167,   227,   175,   193,   227,\n",
            "           175,   188,   227,   175,   179,   227,   176,   138, 29871,   227,\n",
            "           175,   152,   227,   176,   138,   227,   175,   167,   227,   176,\n",
            "           138, 29871,   227,   175,   169,   227,   175,   194,   227,   175,\n",
            "           171, 29973,    13,  2277, 29937, 29871,   227,   175,   173,   227,\n",
            "           176,   144,   227,   175,   179,   227,   175,   167,   227,   175,\n",
            "           194,   227,   175,   152,   227,   176,   144,   227,   175,   179,\n",
            "           227,   175,   194,   227,   176,   162,   227,   175,   193, 29901]])\n",
            "BeamSearchDecoderOnlyOutput(sequences=tensor([[    0, 29871,   227,   175,   171,   227,   175,   194,   227,   175,\n",
            "           177,   227,   176,   144,   227,   175,   171,   227,   175,   179,\n",
            "           227,   176,   138, 29871,   227,   175,   146,   227,   175,   152,\n",
            "         29871,   227,   175,   171,   227,   175,   194,   227,   175,   179,\n",
            "           227,   176,   144,   227,   175,   169,   227,   176,   144,   227,\n",
            "           175,   169,   227,   176,   138,   227,   175,   185, 29871,   227,\n",
            "           175,   178,   227,   175,   193,   227,   175,   188,   227,   175,\n",
            "           193,   227,   175,   152,   227,   175,   194, 29871,   227,   175,\n",
            "           146,   227,   175,   152, 29871,   227,   175,   152,   227,   175,\n",
            "           193,   227,   175,   179,   227,   176,   144,   227,   175,   178,\n",
            "           227,   176,   144,   227,   176,   162,   227,   175,   152,   227,\n",
            "           176,   132, 29871,   227,   175,   175,   227,   175,   179,   227,\n",
            "           176,   144,   227,   175,   166,   227,   176,   144,   227,   175,\n",
            "           166,   227,   175,   171,   227,   175,   193, 29871,   227,   175,\n",
            "           152,   227,   175,   179,   227,   176,   138,   891, 29871,   227,\n",
            "           175,   146,   227,   175,   152, 29871,   227,   175,   173,   227,\n",
            "           176,   144,   227,   175,   179,   227,   175,   167,   227,   175,\n",
            "           194,   227,   175,   152,   227,   176,   144,   227,   175,   179,\n",
            "           227,   175,   194,   227,   176,   162,   227,   175,   193, 29871,\n",
            "           227,   175,   181,   227,   176,   138,   227,   175,   153,   227,\n",
            "           175,   171,   227,   176,   144,   227,   175,   167,   227,   176,\n",
            "           132, 29871,   227,   175,   178,   227,   175,   193,   227,   175,\n",
            "           188,   227,   175,   193, 29871,   227,   175,   136,   227,   175,\n",
            "           171,   227,   176,   132,   227,   175,   179,   227,   176,   142,\n",
            "           227,   175,   170,   227,   175,   152,   227,   176,   132, 29871,\n",
            "           227,   175,   187,   227,   175,   163,   227,   175,   194,   227,\n",
            "           175,   152,   227,   176,   144, 29871,   227,   175,   176,   227,\n",
            "           175,   193,   227,   175,   175,   227,   175,   179,   227,   176,\n",
            "           138, 29871,   227,   175,   187,   227,   175,   177,   227,   175,\n",
            "           193,   227,   175,   173,   227,   176,   144,   227,   175,   167,\n",
            "         29871,   227,   175,   152,   227,   175,   179,   227,   176,   138,\n",
            "           891,    13,  2277, 29937, 29871,   227,   175,   171,   227,   175,\n",
            "           194,   227,   175,   179,   227,   176,   144,   227,   175,   169,\n",
            "           227,   176,   144,   227,   175,   169,   227,   176,   138,   227,\n",
            "           175,   185, 29901,    13,   227,   175,   187,   227,   175,   173,\n",
            "           227,   176,   144,   227,   175,   167,   227,   175,   193,   227,\n",
            "           175,   188,   227,   175,   179,   227,   176,   138, 29871,   227,\n",
            "           175,   152,   227,   176,   138,   227,   175,   167,   227,   176,\n",
            "           138, 29871,   227,   175,   169,   227,   175,   194,   227,   175,\n",
            "           171, 29973,    13,  2277, 29937, 29871,   227,   175,   173,   227,\n",
            "           176,   144,   227,   175,   179,   227,   175,   167,   227,   175,\n",
            "           194,   227,   175,   152,   227,   176,   144,   227,   175,   179,\n",
            "           227,   175,   194,   227,   176,   162,   227,   175,   193, 29901,\n",
            "            13,   227,   175,   187,   227,   175,   177,   227,   175,   193,\n",
            "           227,   175,   173,   227,   176,   144,   227,   175,   167,   227,\n",
            "           175,   194,   227,   175,   152,   227,   176,   144,   227,   175,\n",
            "           179,   227,   175,   194,   227,   176,   162,   227,   175,   193,\n",
            "         29871,   227,   175,   181,   227,   176,   138,   227,   175,   153,\n",
            "           227,   175,   171,   227,   176,   144,   227,   175,   167,   227,\n",
            "           176,   132, 29871,   227,   175,   178,   227,   175,   193,   227,\n",
            "           175,   188,   227,   175,   193, 29871,   227,   175,   136,   227,\n",
            "           175,   171,   227,   176,   132,   227,   175,   179,   227,   176,\n",
            "           142,   227,   175,   170,   227,   175,   152,   227,   176,   132,\n",
            "         29871,   227,   175,   187,   227,   175,   163,   227,   175,   194,\n",
            "           227,   175,   152,   227,   176,   144, 29871,   227,   175,   176,\n",
            "           227,   175,   193,   227,   175,   175,   227,   175]]), sequences_scores=tensor([-0.0254]), scores=(tensor([[-22.2221, -25.3419,  -5.7305,  ..., -17.0399, -17.2158, -16.1973],\n",
            "        [-22.2221, -25.3419,  -5.7305,  ..., -17.0399, -17.2158, -16.1973],\n",
            "        [-22.2221, -25.3419,  -5.7305,  ..., -17.0399, -17.2158, -16.1973],\n",
            "        [-22.2221, -25.3419,  -5.7305,  ..., -17.0399, -17.2158, -16.1973]]), tensor([[-2.2533e+01, -3.1655e+01, -1.0432e+01,  ..., -1.5784e+01,\n",
            "         -1.6474e+01, -1.4439e+01],\n",
            "        [-2.0524e+01, -2.3693e+01, -9.9595e+00,  ..., -1.5096e+01,\n",
            "         -1.5898e+01, -1.5058e+01],\n",
            "        [-2.3467e+01, -3.0171e+01, -2.0560e+01,  ..., -2.0411e+01,\n",
            "         -1.9778e+01, -2.1964e+01],\n",
            "        [-2.5814e+01, -2.3842e-07, -2.4868e+01,  ..., -2.5899e+01,\n",
            "         -2.6665e+01, -2.5361e+01]]), tensor([[-23.3781, -30.3849, -28.7984,  ..., -21.0660, -20.1393, -22.1028],\n",
            "        [-24.2931, -32.1075, -27.1988,  ..., -21.5110, -21.2960, -22.6923],\n",
            "        [-26.2667, -35.8809, -10.7452,  ..., -18.1344, -20.1919, -19.6957],\n",
            "        [-21.3769, -29.3790,  -7.7343,  ..., -13.7539, -15.5227, -12.9187]]), tensor([[-19.1143, -25.7845, -29.5259,  ..., -16.7776, -16.4470, -17.8129],\n",
            "        [-19.6210, -26.5275, -27.8780,  ..., -17.2278, -17.0249, -17.6326],\n",
            "        [-23.7221, -29.4447,  -8.1844,  ..., -16.6909, -17.0613, -17.1228],\n",
            "        [-20.4430, -28.1770, -26.3328,  ..., -19.2591, -17.5870, -18.4251]]), tensor([[-20.9758, -21.9472, -11.1095,  ..., -16.6686, -17.9252, -14.0026],\n",
            "        [-21.4506, -27.2402, -15.8946,  ..., -16.9378, -17.0361, -16.4196],\n",
            "        [-21.8075, -26.5170, -15.4815,  ..., -17.8847, -16.3178, -15.2678],\n",
            "        [-21.2519, -24.7570, -13.0923,  ..., -16.4772, -15.8264, -15.6126]]), tensor([[-23.8639, -28.5379, -29.1912,  ..., -22.1792, -21.4310, -21.7948],\n",
            "        [-24.8094, -31.8411, -29.1600,  ..., -22.8414, -22.1964, -23.5692],\n",
            "        [-20.9846, -27.5131, -27.4012,  ..., -19.3374, -18.2486, -18.4664],\n",
            "        [-21.2012, -27.0075, -26.5848,  ..., -19.3812, -18.5835, -18.9195]]), tensor([[-18.3354, -23.1358, -27.8551,  ..., -15.3603, -16.3726, -17.1964],\n",
            "        [-18.9477, -26.3257, -29.4625,  ..., -16.9522, -16.8384, -16.8363],\n",
            "        [-19.4574, -25.7506, -29.2640,  ..., -17.1384, -17.0956, -17.3938],\n",
            "        [-19.0446, -26.3606, -22.7257,  ..., -15.2401, -15.7688, -15.4903]]), tensor([[-23.2120, -27.3688, -13.7203,  ..., -18.3564, -18.8016, -17.9108],\n",
            "        [-22.0828, -23.5758, -12.8700,  ..., -18.2673, -18.8848, -14.6936],\n",
            "        [-21.2708, -23.8361, -14.2597,  ..., -17.1434, -16.9156, -16.9287],\n",
            "        [-22.4771, -25.7265, -12.9540,  ..., -19.2321, -18.1140, -15.6005]]), tensor([[-21.4790, -26.0171, -26.0909,  ..., -20.1214, -19.2185, -18.9277],\n",
            "        [-21.0683, -27.1879, -26.9738,  ..., -19.9062, -18.4907, -20.4579],\n",
            "        [-21.2755, -26.4618, -25.9812,  ..., -19.5867, -18.3010, -18.9219],\n",
            "        [-20.5961, -26.9199, -19.9875,  ..., -17.0737, -17.9189, -19.1339]]), tensor([[-22.4930, -26.3296, -31.1915,  ..., -20.6064, -22.1559, -19.5517],\n",
            "        [-23.3419, -34.2245, -25.4434,  ..., -21.4078, -20.4975, -20.6987],\n",
            "        [-21.4743, -29.7950, -27.1032,  ..., -20.1655, -20.0733, -21.2861],\n",
            "        [-21.8259, -28.3953, -27.3588,  ..., -19.5727, -21.3926, -18.5754]]), tensor([[-23.3781, -24.4163, -10.2856,  ..., -20.8653, -18.4644, -17.2881],\n",
            "        [-23.9150, -30.0601, -14.6388,  ..., -20.5231, -22.9324, -20.4253],\n",
            "        [-24.4055, -28.2272, -14.6056,  ..., -20.1357, -21.7080, -16.6142],\n",
            "        [-22.1194, -23.6654, -10.5427,  ..., -19.0860, -17.5683, -16.0068]]), tensor([[-26.3887, -31.0176, -27.3762,  ..., -25.0973, -23.3296, -24.9412],\n",
            "        [-22.8491, -28.7761, -26.7421,  ..., -22.0523, -20.0613, -22.0396],\n",
            "        [-25.5193, -30.5141, -31.5942,  ..., -24.8139, -23.2051, -25.6114],\n",
            "        [-20.5437, -25.1945, -26.2171,  ..., -18.8891, -18.2887, -18.9268]]), tensor([[-21.4196, -26.7133, -27.1896,  ..., -19.9411, -18.6643, -19.7577],\n",
            "        [-18.1846, -23.6926, -34.4029,  ..., -18.1675, -18.3382, -19.5147],\n",
            "        [-22.4155, -27.7577, -26.9497,  ..., -22.0750, -20.3543, -20.0391],\n",
            "        [-20.1250, -25.4629, -28.6864,  ..., -18.2114, -19.5375, -17.3961]]), tensor([[-24.0985, -26.5171, -10.7387,  ..., -19.7773, -18.1366, -17.2419],\n",
            "        [-22.5721, -23.2916, -12.0306,  ..., -19.0847, -18.4882, -16.4927],\n",
            "        [-20.8738, -23.8912,  -9.3481,  ..., -17.3515, -16.9698, -13.8181],\n",
            "        [-22.2805, -23.9201,  -9.3562,  ..., -18.6617, -17.6150, -14.5400]]), tensor([[-23.2671, -28.0803, -22.3467,  ..., -20.0395, -19.2884, -20.3427],\n",
            "        [-23.7394, -29.3164, -28.5239,  ..., -22.2785, -21.0844, -21.4632],\n",
            "        [-20.8788, -25.1885, -27.8420,  ..., -19.4460, -17.9594, -19.6793],\n",
            "        [-22.4935, -27.3601, -27.6246,  ..., -21.1822, -19.8683, -20.7868]]), tensor([[-25.1514, -32.2852, -28.7980,  ..., -23.5640, -21.8511, -22.9940],\n",
            "        [-23.2779, -28.5984, -33.0535,  ..., -22.1616, -20.8846, -20.7385],\n",
            "        [-20.7400, -26.3336, -27.4602,  ..., -18.0687, -18.4332, -18.1111],\n",
            "        [-20.7700, -27.3892, -29.2382,  ..., -18.6667, -18.6656, -18.4103]]), tensor([[-24.7557, -24.6599, -11.4404,  ..., -21.8661, -20.6117, -21.0717],\n",
            "        [-24.3904, -27.8196, -10.8935,  ..., -22.5125, -18.7351, -18.3005],\n",
            "        [-22.9943, -25.4895,  -9.7928,  ..., -21.1597, -18.9957, -14.7595],\n",
            "        [-24.0234, -26.7974, -10.8080,  ..., -19.6207, -20.9397, -18.2057]]), tensor([[-28.2078, -33.8543, -25.6379,  ..., -26.2901, -23.9231, -26.6030],\n",
            "        [-25.6149, -30.9477, -27.7979,  ..., -24.6077, -22.3251, -23.5926],\n",
            "        [-21.7527, -26.9335, -27.3116,  ..., -20.9909, -19.4375, -19.2365],\n",
            "        [-23.1814, -29.0182, -26.5478,  ..., -21.4558, -20.8426, -20.9223]]), tensor([[-28.3606, -35.2487, -30.5371,  ..., -24.8437, -23.6104, -25.5908],\n",
            "        [-21.2058, -28.5349, -28.8778,  ..., -20.3079, -17.7757, -19.2133],\n",
            "        [-20.9457, -27.9013, -24.7358,  ..., -18.8647, -18.4284, -18.5566],\n",
            "        [-24.7680, -36.3727, -31.0840,  ..., -23.8560, -23.4990, -22.7035]]), tensor([[-22.7837, -24.0420,  -7.6448,  ..., -19.7252, -16.6401, -15.2839],\n",
            "        [-23.8657, -26.8920,  -8.9458,  ..., -19.6260, -19.4536, -17.1190],\n",
            "        [-21.9627, -25.9289,  -9.4784,  ..., -18.5290, -16.9878, -15.0068],\n",
            "        [-23.7483, -25.3520,  -9.0100,  ..., -19.7131, -19.7146, -17.6125]]), tensor([[-22.6624, -27.2297, -24.9573,  ..., -20.8010, -19.0606, -19.7195],\n",
            "        [-21.8649, -25.1110, -16.5800,  ..., -17.8201, -17.9248, -17.5568],\n",
            "        [-22.9090, -28.7912, -26.6392,  ..., -21.1280, -20.3808, -20.3790],\n",
            "        [-22.6059, -27.8256, -28.2496,  ..., -20.9804, -19.6536, -20.6107]]), tensor([[-24.4305, -31.5613, -28.6512,  ..., -22.4459, -21.2003, -22.6299],\n",
            "        [-21.0420, -27.1718, -22.9689,  ..., -18.2187, -18.4416, -18.2142],\n",
            "        [-21.2232, -31.4883, -27.3775,  ..., -19.8864, -18.4943, -19.0867],\n",
            "        [-24.9716, -36.0697, -28.9438,  ..., -23.3884, -22.4706, -22.0892]]), tensor([[-19.5584, -26.8920, -29.2282,  ..., -17.1279, -17.0145, -17.5942],\n",
            "        [-23.5087, -27.0574, -10.0491,  ..., -18.7423, -18.4796, -17.7674],\n",
            "        [-23.5583, -26.6407,  -8.7912,  ..., -17.9875, -18.2310, -16.5081],\n",
            "        [-23.3084, -25.3116,  -8.1451,  ..., -18.3042, -16.7371, -16.3077]]), tensor([[-22.1513, -25.5226, -14.0781,  ..., -17.4490, -16.0822, -16.2281],\n",
            "        [-21.6734, -27.6130, -26.4384,  ..., -19.3123, -18.8465, -19.9993],\n",
            "        [-24.1675, -29.2304, -25.8826,  ..., -21.9163, -20.7846, -22.1938],\n",
            "        [-23.8949, -28.9990, -23.2030,  ..., -21.8487, -20.1858, -21.2446]]), tensor([[-21.9262, -27.7143, -26.9246,  ..., -20.2316, -18.5186, -19.3712],\n",
            "        [-24.9034, -35.8275, -29.6805,  ..., -23.1514, -22.9428, -23.5812],\n",
            "        [-22.3613, -29.3515, -28.7649,  ..., -19.1631, -19.7408, -20.4957],\n",
            "        [-21.0533, -27.0348, -26.6237,  ..., -18.2704, -18.2826, -19.1829]]), tensor([[-20.5621, -26.9886, -24.9360,  ..., -16.9506, -16.6725, -17.4608],\n",
            "        [-23.6483, -25.8243,  -8.7795,  ..., -18.9345, -17.6920, -17.4404],\n",
            "        [-23.9874, -25.9646, -10.7787,  ..., -19.9686, -17.6552, -18.7037],\n",
            "        [-22.3051, -29.9580, -29.3361,  ..., -20.4987, -19.8145, -19.6179]]), tensor([[-22.9368, -26.0175,  -9.9069,  ..., -19.6012, -18.6714, -16.3962],\n",
            "        [-22.4683, -25.8097, -17.0484,  ..., -18.2756, -18.2613, -17.3060],\n",
            "        [-21.0807, -26.2213, -22.6659,  ..., -18.4474, -17.7892, -17.9445],\n",
            "        [-23.3374, -23.0826, -12.5447,  ..., -21.0927, -17.5176, -16.5691]]), tensor([[-21.2966, -27.6486, -17.4324,  ..., -16.0908, -18.9509, -19.5356],\n",
            "        [-25.4075, -32.8183, -28.7475,  ..., -22.9921, -22.1728, -23.3999],\n",
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            "        [-26.2467, -32.2257, -24.2848,  ..., -23.1705, -22.4268, -24.4238],\n",
            "        [-32.3142, -42.7242, -31.6306,  ..., -29.2470, -31.7421, -29.8843],\n",
            "        [-28.4498, -37.0627, -30.4036,  ..., -26.0615, -27.7912, -26.9358]]), tensor([[-23.9413, -30.4767, -27.5654,  ..., -21.6593, -20.8410, -22.1405],\n",
            "        [-21.0881, -27.7131, -29.5358,  ..., -18.3470, -18.7399, -20.0403],\n",
            "        [-25.7463, -27.6389, -11.9829,  ..., -20.8406, -18.8550, -18.6708],\n",
            "        [-27.9021, -31.3908, -15.7734,  ..., -24.0984, -23.9973, -24.5792]]), tensor([[-25.5721, -27.8888, -13.3855,  ..., -24.1080, -22.0503, -21.2917],\n",
            "        [-25.7098, -28.6565, -15.5812,  ..., -22.5273, -20.3890, -21.4888],\n",
            "        [-24.4466, -26.0225, -17.6138,  ..., -21.5916, -20.8852, -20.3256],\n",
            "        [-28.5892, -35.2775, -28.3582,  ..., -27.7491, -24.2764, -26.7736]]), tensor([[-31.4168, -37.2361, -26.5943,  ..., -31.6773, -27.1717, -28.9478],\n",
            "        [-26.4413, -31.6266, -24.9957,  ..., -25.3312, -22.9979, -23.9943],\n",
            "        [-29.8531, -36.3177, -26.9456,  ..., -27.4521, -25.5073, -27.7007],\n",
            "        [-25.7646, -33.9046, -31.9967,  ..., -23.1981, -22.7782, -26.7106]]), tensor([[-27.9660, -34.9990, -29.3218,  ..., -26.9512, -28.9406, -25.7339],\n",
            "        [-25.1612, -32.7773, -31.7800,  ..., -23.6879, -23.3362, -23.4499],\n",
            "        [-22.3589, -29.2429, -30.0532,  ..., -20.3184, -19.7755, -20.7671],\n",
            "        [-27.9479, -29.1639, -17.1842,  ..., -24.5316, -25.1767, -22.6233]]), tensor([[-27.9008, -30.6401, -12.6987,  ..., -24.6441, -23.9671, -24.1207],\n",
            "        [-24.0019, -26.8320, -12.0111,  ..., -20.3652, -19.9899, -19.5716],\n",
            "        [-26.6292, -30.8938, -13.4603,  ..., -22.7341, -24.4488, -21.8944],\n",
            "        [-26.7483, -29.8620, -16.8803,  ..., -24.0724, -23.9954, -21.1371]]), tensor([[-32.2248, -38.9614, -27.1859,  ..., -31.0360, -27.9636, -31.2695],\n",
            "        [-23.2207, -26.9483, -20.7267,  ..., -22.8157, -19.9444, -19.6674],\n",
            "        [-28.0050, -32.4558, -22.7011,  ..., -28.0173, -24.8687, -25.5399],\n",
            "        [-25.7253, -30.3862, -24.8116,  ..., -25.7300, -22.9804, -23.4286]]), tensor([[-27.1473, -36.7500, -28.1388,  ..., -24.7038, -26.2050, -27.9280],\n",
            "        [-24.4485, -29.2018, -31.2869,  ..., -22.9437, -23.5091, -22.2056],\n",
            "        [-26.6177, -31.7475, -27.9550,  ..., -23.7892, -26.1824, -23.4546],\n",
            "        [-25.8212, -32.6560, -24.3040,  ..., -22.9663, -24.7065, -20.0811]]), tensor([[-25.9849, -27.6061, -11.0317,  ..., -22.6961, -21.2599, -21.4403],\n",
            "        [-25.7611, -25.7379, -10.7645,  ..., -24.2911, -20.8835, -21.3984],\n",
            "        [-27.2341, -28.6528, -12.4266,  ..., -22.6296, -22.4263, -22.4349],\n",
            "        [-26.5492, -30.1482, -14.0128,  ..., -23.1082, -22.5323, -20.9484]]), tensor([[-28.4249, -32.6096, -19.9627,  ..., -26.1876, -23.2757, -25.4376],\n",
            "        [-28.6396, -33.5528, -24.4863,  ..., -27.7637, -25.1141, -27.2472],\n",
            "        [-29.8681, -34.1080, -26.9430,  ..., -28.6447, -25.9872, -28.0057],\n",
            "        [-29.0449, -34.4916, -26.3850,  ..., -28.0604, -24.9692, -28.0880]])), beam_indices=tensor([[ 0,  0,  0,  0,  2,  2,  2,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
            "          0,  0,  0,  1,  2,  2,  2,  2,  2,  2,  3,  1,  0,  0,  0,  0,  0,  0,\n",
            "          0,  0,  0,  0,  0,  1,  0,  0,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,\n",
            "          1,  1,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
            "          0,  0,  0,  0,  1,  1,  1,  1,  1,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
            "          0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
            "          0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
            "          0,  0, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
            "         -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1]]), attentions=None, hidden_states=None)\n",
            "tensor([    0, 29871,   227,   175,   171,   227,   175,   194,   227,   175,\n",
            "          177,   227,   176,   144,   227,   175,   171,   227,   175,   179,\n",
            "          227,   176,   138, 29871,   227,   175,   146,   227,   175,   152,\n",
            "        29871,   227,   175,   171,   227,   175,   194,   227,   175,   179,\n",
            "          227,   176,   144,   227,   175,   169,   227,   176,   144,   227,\n",
            "          175,   169,   227,   176,   138,   227,   175,   185, 29871,   227,\n",
            "          175,   178,   227,   175,   193,   227,   175,   188,   227,   175,\n",
            "          193,   227,   175,   152,   227,   175,   194, 29871,   227,   175,\n",
            "          146,   227,   175,   152, 29871,   227,   175,   152,   227,   175,\n",
            "          193,   227,   175,   179,   227,   176,   144,   227,   175,   178,\n",
            "          227,   176,   144,   227,   176,   162,   227,   175,   152,   227,\n",
            "          176,   132, 29871,   227,   175,   175,   227,   175,   179,   227,\n",
            "          176,   144,   227,   175,   166,   227,   176,   144,   227,   175,\n",
            "          166,   227,   175,   171,   227,   175,   193, 29871,   227,   175,\n",
            "          152,   227,   175,   179,   227,   176,   138,   891, 29871,   227,\n",
            "          175,   146,   227,   175,   152, 29871,   227,   175,   173,   227,\n",
            "          176,   144,   227,   175,   179,   227,   175,   167,   227,   175,\n",
            "          194,   227,   175,   152,   227,   176,   144,   227,   175,   179,\n",
            "          227,   175,   194,   227,   176,   162,   227,   175,   193, 29871,\n",
            "          227,   175,   181,   227,   176,   138,   227,   175,   153,   227,\n",
            "          175,   171,   227,   176,   144,   227,   175,   167,   227,   176,\n",
            "          132, 29871,   227,   175,   178,   227,   175,   193,   227,   175,\n",
            "          188,   227,   175,   193, 29871,   227,   175,   136,   227,   175,\n",
            "          171,   227,   176,   132,   227,   175,   179,   227,   176,   142,\n",
            "          227,   175,   170,   227,   175,   152,   227,   176,   132, 29871,\n",
            "          227,   175,   187,   227,   175,   163,   227,   175,   194,   227,\n",
            "          175,   152,   227,   176,   144, 29871,   227,   175,   176,   227,\n",
            "          175,   193,   227,   175,   175,   227,   175,   179,   227,   176,\n",
            "          138, 29871,   227,   175,   187,   227,   175,   177,   227,   175,\n",
            "          193,   227,   175,   173,   227,   176,   144,   227,   175,   167,\n",
            "        29871,   227,   175,   152,   227,   175,   179,   227,   176,   138,\n",
            "          891,    13,  2277, 29937, 29871,   227,   175,   171,   227,   175,\n",
            "          194,   227,   175,   179,   227,   176,   144,   227,   175,   169,\n",
            "          227,   176,   144,   227,   175,   169,   227,   176,   138,   227,\n",
            "          175,   185, 29901,    13,   227,   175,   187,   227,   175,   173,\n",
            "          227,   176,   144,   227,   175,   167,   227,   175,   193,   227,\n",
            "          175,   188,   227,   175,   179,   227,   176,   138, 29871,   227,\n",
            "          175,   152,   227,   176,   138,   227,   175,   167,   227,   176,\n",
            "          138, 29871,   227,   175,   169,   227,   175,   194,   227,   175,\n",
            "          171, 29973,    13,  2277, 29937, 29871,   227,   175,   173,   227,\n",
            "          176,   144,   227,   175,   179,   227,   175,   167,   227,   175,\n",
            "          194,   227,   175,   152,   227,   176,   144,   227,   175,   179,\n",
            "          227,   175,   194,   227,   176,   162,   227,   175,   193, 29901,\n",
            "           13,   227,   175,   187,   227,   175,   177,   227,   175,   193,\n",
            "          227,   175,   173,   227,   176,   144,   227,   175,   167,   227,\n",
            "          175,   194,   227,   175,   152,   227,   176,   144,   227,   175,\n",
            "          179,   227,   175,   194,   227,   176,   162,   227,   175,   193,\n",
            "        29871,   227,   175,   181,   227,   176,   138,   227,   175,   153,\n",
            "          227,   175,   171,   227,   176,   144,   227,   175,   167,   227,\n",
            "          176,   132, 29871,   227,   175,   178,   227,   175,   193,   227,\n",
            "          175,   188,   227,   175,   193, 29871,   227,   175,   136,   227,\n",
            "          175,   171,   227,   176,   132,   227,   175,   179,   227,   176,\n",
            "          142,   227,   175,   170,   227,   175,   152,   227,   176,   132,\n",
            "        29871,   227,   175,   187,   227,   175,   163,   227,   175,   194,\n",
            "          227,   175,   152,   227,   176,   144, 29871,   227,   175,   176,\n",
            "          227,   175,   193,   227,   175,   175,   227,   175])\n",
            " ⁇  ନିମ୍ନରେ ଏକ ନିର୍ଦ୍ଦେଶ ଯାହାକି ଏକ କାର୍ଯ୍ୟକୁ ବର୍ଣ୍ଣନା କରେ | ଏକ ପ୍ରତିକ୍ରିୟା ଲେଖନ୍ତୁ ଯାହା ଅନୁରୋଧକୁ ସଠିକ୍ ଭାବରେ ସମାପ୍ତ କରେ |\n",
            "### ନିର୍ଦ୍ଦେଶ:\n",
            "ସପ୍ତାହରେ କେତେ ଦିନ?\n",
            "### ପ୍ରତିକ୍ରିୟା:\n",
            "ସମାପ୍ତିକ୍ରିୟା ଲେଖନ୍ତୁ ଯାହା ଅନୁରୋଧକୁ ସଠିକ୍ ଭାବ��\n",
            "Keyboard interruption in main thread... closing server.\n",
            "Killing tunnel 127.0.0.1:7860 <> https://d7f1f8bf2efbab2f8a.gradio.live\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    }
  ]
}