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": "54da3f1c-d23d-4e35-93f1-8ab34fa1dc14"
       },
-      "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[31m5.5 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[31m11.8 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[31m28.8 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[31m52.2 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[31m33.2 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[31m1.7 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-base_model\", trust_remote_code=True, device_map=\"cuda:0\")\n",
-        "tokenizer = AutoTokenizer.from_pretrained(\"agonh/phi-base_model\", trust_remote_code=True, device_map=\"cuda:0\")"
+        "from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer\n",
+        "model = AutoModelForCausalLM.from_pretrained(\"agonh/phi-base_model\", trust_remote_code=True, torch_dtype=torch.bfloat16).to(\"cuda\")\n",
+        "tokenizer = AutoTokenizer.from_pretrained(\"agonh/phi-base_model\", trust_remote_code=True, torch_dtype=torch.bfloat16)\n",
+        "\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 801,
+          "referenced_widgets": [
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+        "id": "4l0LmOS3Z2wq",
+        "outputId": "3feaa855-bcb4-47a7-bad6-15607b5857fc"
+      },
+      "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": "b8ad6bbb8445414eafdcc69f0113ca28"
+            }
+          },
+          "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": "6534d920fe57491ba5aaaa5e7cc6d29c"
+            }
+          },
+          "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": "0221000285b04f3f97ba1a4e639bfd77"
+            }
+          },
+          "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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+        },
+        {
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+            ],
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       "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 water ?\"\n",
+        "\n",
+        "prompt = prompt.format(system_prompt=system_prompt, user_prompt=user_prompt)\n",
+        "inputs = tokenizer(prompt, return_tensors=\"pt\", return_attention_mask=False).to(\"cuda\")\n",
+        "streamer = TextStreamer(tokenizer)\n",
+        "_ = model.generate(**inputs, max_length=125, top_k=40, top_p=0.9, do_sample=True, temperature=0.25, repetition_penalty=1.2, use_cache=True, eos_token_id=tokenizer.eos_token_id, streamer=streamer)\n"
       ],
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         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "id": "87vmiui3jGK7",
-        "outputId": "46fb0454-8b29-4a76-cb1c-1d1c7c7c28c2"
+        "id": "YPxj65xgdIHF",
+        "outputId": "d4e34528-ff5c-46e2-a718-cfc2152e25fe"
       },
-      "execution_count": 2,
+      "execution_count": 7,
       "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 water?\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",
+            "Water is essential for life on Earth as it helps regulate body temperature, transport nutrients throughout our bodies, and remove waste products from cells. It also plays a crucial role in supporting ecosystems by providing habitats for aquatic organisms and maintaining soil moisture levels through evaporation. Additionally, drinking clean water ensures proper hydration and overall health. \n",
             "\n",
-            "Student: How does the moon affect the tides\n"
+            "<|endoftext|>\n"
           ]
         }
       ]
     }
-  ]
+  ],
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