diff --git "a/run in GPU.ipynb" "b/run in GPU.ipynb"
--- "a/run in GPU.ipynb"
+++ "b/run in GPU.ipynb"
@@ -1,77 +1,4234 @@
 {
-  "nbformat": 4,
-  "nbformat_minor": 0,
-  "metadata": {
-    "colab": {
-      "provenance": [],
-      "gpuType": "T4"
-    },
-    "kernelspec": {
-      "name": "python3",
-      "display_name": "Python 3"
-    },
-    "language_info": {
-      "name": "python"
-    },
-    "accelerator": "GPU"
-  },
   "cells": [
     {
       "cell_type": "code",
-      "execution_count": 1,
+      "source": [
+        "!pip install accelerate\n",
+        "!pip install transformers\n",
+        "!pip install einops\n"
+      ],
       "metadata": {
-        "id": "CIUy2FYzfFEJ"
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "wydWHu4s8jQw",
+        "outputId": "98d45a66-25af-4c14-e7d5-1106653f5932"
       },
-      "outputs": [],
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Collecting accelerate\n",
+            "  Downloading accelerate-0.23.0-py3-none-any.whl (258 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m258.1/258.1 kB\u001b[0m \u001b[31m5.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.23.5)\n",
+            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (23.1)\n",
+            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n",
+            "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from accelerate) (6.0.1)\n",
+            "Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.0.1+cu118)\n",
+            "Collecting huggingface-hub (from accelerate)\n",
+            "  Downloading huggingface_hub-0.17.1-py3-none-any.whl (294 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m294.8/294.8 kB\u001b[0m \u001b[31m9.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.12.2)\n",
+            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (4.5.0)\n",
+            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (1.12)\n",
+            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1)\n",
+            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.2)\n",
+            "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.0.0)\n",
+            "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.10.0->accelerate) (3.27.4.1)\n",
+            "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.10.0->accelerate) (16.0.6)\n",
+            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (2023.6.0)\n",
+            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (2.31.0)\n",
+            "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (4.66.1)\n",
+            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.3)\n",
+            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.2.0)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.4)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2.0.4)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2023.7.22)\n",
+            "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: huggingface-hub, accelerate\n",
+            "Successfully installed accelerate-0.23.0 huggingface-hub-0.17.1\n",
+            "Collecting transformers\n",
+            "  Downloading transformers-4.33.1-py3-none-any.whl (7.6 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.6/7.6 MB\u001b[0m \u001b[31m20.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.12.2)\n",
+            "Requirement already satisfied: huggingface-hub<1.0,>=0.15.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.17.1)\n",
+            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.23.5)\n",
+            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.1)\n",
+            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
+            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.6.3)\n",
+            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
+            "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers)\n",
+            "  Downloading tokenizers-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m43.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hCollecting safetensors>=0.3.1 (from transformers)\n",
+            "  Downloading safetensors-0.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m43.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.1)\n",
+            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.15.1->transformers) (2023.6.0)\n",
+            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.15.1->transformers) (4.5.0)\n",
+            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.2.0)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.4)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2023.7.22)\n",
+            "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",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m42.2/42.2 kB\u001b[0m \u001b[31m1.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hInstalling collected packages: einops\n",
+            "Successfully installed einops-0.6.1\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
       "source": [
-        "%%capture\n",
-        "!pip install transformers\n",
-        "!pip install einops\n",
-        "!pip install accelerate\n",
-        "\n",
         "import torch\n",
-        "from transformers import AutoModelForCausalLM, AutoTokenizer\n",
-        "\n",
-        "model = AutoModelForCausalLM.from_pretrained(\"agonh/phi-1_5\", trust_remote_code=True, device_map=\"cuda:0\")\n",
-        "tokenizer = AutoTokenizer.from_pretrained(\"agonh/phi-1_5\", trust_remote_code=True, device_map=\"cuda:0\")"
+        "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": {
+          "base_uri": "https://localhost:8080/",
+          "height": 801,
+          "referenced_widgets": [
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+        "id": "4l0LmOS3Z2wq",
+        "outputId": "88d74f9f-6187-472e-ffb9-b54b37de0986"
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Downloading (…)lve/main/config.json:   0%|          | 0.00/923 [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "b4e42bf61c0c4e1387428a47359f5fd7"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Downloading (…)former_sequential.py:   0%|          | 0.00/2.23k [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "0d10ba4729324bcdaa524bf0f7b66382"
+            }
+          },
+          "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"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Downloading (…)former_sequential.py:   0%|          | 0.00/32.2k [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "8e647bdfbabc4366ba2fa6aa4768a0f9"
+            }
+          },
+          "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",
+            "- 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",
+          "data": {
+            "text/plain": [
+              "Downloading pytorch_model.bin:   0%|          | 0.00/2.84G [00:00<?, ?B/s]"
+            ],
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+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Downloading (…)neration_config.json:   0%|          | 0.00/69.0 [00:00<?, ?B/s]"
+            ],
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+        },
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+              "Downloading (…)okenizer_config.json:   0%|          | 0.00/262 [00:00<?, ?B/s]"
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     {
       "cell_type": "code",
       "source": [
-        "prompt = \"tell me about the moon ?\"\n",
-        "inputs = tokenizer(prompt, return_tensors=\"pt\", return_attention_mask=False)\n",
+        "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",
-        "inputs.to(\"cuda:0\")\n",
-        "outputs = model.generate(**inputs, max_length=100)\n",
-        "text = tokenizer.batch_decode(outputs)[0]\n",
-        "print(text)"
+        "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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         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "id": "87vmiui3jGK7",
-        "outputId": "6b4d3b45-9c4b-421d-bf67-c3b61f09f9d1"
+        "id": "YPxj65xgdIHF",
+        "outputId": "342697e8-eccd-4652-dfe6-d44e09ea9942"
       },
-      "execution_count": 2,
+      "execution_count": 3,
       "outputs": [
+        {
+          "output_type": "stream",
+          "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"
+          ]
+        },
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "tell me about the moon?\n",
-            "\n",
-            "Teacher: The moon is a natural satellite of the Earth. It is the fifth largest moon in the solar system and is about 238,900 miles away from the Earth.\n",
+            "### 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",
-            "Student: Wow, that's a really big distance!\n",
+            "### User:\n",
+            "tell me about moon?\n",
             "\n",
-            "Teacher: Yes, it is. The moon has a lot of interesting features, like craters and mountains. It also affects the tides on Earth.\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",
-            "Student: How does the moon affect the tides\n"
+            "<|endoftext|>\n"
           ]
         }
       ]
     }
-  ]
+  ],
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