diff --git "a/Llama_3_8b_Unsloth_finetuning_on_BanglaAlpacaOrca.ipynb" "b/Llama_3_8b_Unsloth_finetuning_on_BanglaAlpacaOrca.ipynb"
--- "a/Llama_3_8b_Unsloth_finetuning_on_BanglaAlpacaOrca.ipynb"
+++ "b/Llama_3_8b_Unsloth_finetuning_on_BanglaAlpacaOrca.ipynb"
@@ -24,7 +24,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 1,
+      "execution_count": null,
       "metadata": {
         "id": "2eSvM9zX_2d3"
       },
@@ -51,7 +51,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 2,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -272,7 +272,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 3,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -327,7 +327,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 4,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -508,7 +508,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 8,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -586,7 +586,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 6,
+      "execution_count": null,
       "metadata": {
         "cellView": "form",
         "colab": {
@@ -616,7 +616,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 9,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -911,7 +911,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 10,
+      "execution_count": null,
       "metadata": {
         "cellView": "form",
         "colab": {
@@ -961,7 +961,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 11,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -1015,7 +1015,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 12,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -1080,7 +1080,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 13,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -1168,7 +1168,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 18,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -1244,7 +1244,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 19,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -1288,7 +1288,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 16,
+      "execution_count": null,
       "metadata": {
         "id": "iHjt_SMYsd3P"
       },
@@ -1324,7 +1324,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 17,
+      "execution_count": null,
       "metadata": {
         "id": "FqfebeAdT073"
       },
@@ -1377,188 +1377,3364 @@
         "  <a href=\"https://ko-fi.com/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Kofi button.png\" width=\"145\"></a></a> Support our work if you can! Thanks!\n",
         "</div>"
       ]
-    }
-  ],
-  "metadata": {
-    "accelerator": "GPU",
-    "colab": {
-      "gpuType": "T4",
-      "provenance": []
-    },
-    "kernelspec": {
-      "display_name": "Python 3",
-      "name": "python3"
     },
-    "language_info": {
-      "name": "python"
+    {
+      "cell_type": "code",
+      "source": [
+        "!pip install git+https://github.com/unslothai/unsloth.git \"unsloth[colab-new]\" \"xformers<0.0.27\" trl peft accelerate bitsandbytes\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "hDZ0f9kkiKU2",
+        "outputId": "c6ddcd1c-3e50-4a16-c5a6-6e55e0775c1f"
+      },
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Collecting git+https://github.com/unslothai/unsloth.git\n",
+            "  Cloning https://github.com/unslothai/unsloth.git to /tmp/pip-req-build-acrycjcr\n",
+            "  Running command git clone --filter=blob:none --quiet https://github.com/unslothai/unsloth.git /tmp/pip-req-build-acrycjcr\n",
+            "  Resolved https://github.com/unslothai/unsloth.git to commit 92dce38e8b3c1db209cef860d90b60188e95f0f9\n",
+            "  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",
+            "Collecting xformers<0.0.27\n",
+            "  Downloading xformers-0.0.26.post1-cp310-cp310-manylinux2014_x86_64.whl (222.7 MB)\n",
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+            "\u001b[?25hCollecting trl\n",
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+            "\u001b[?25hCollecting peft\n",
+            "  Downloading peft-0.11.1-py3-none-any.whl (251 kB)\n",
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+            "\u001b[?25hCollecting accelerate\n",
+            "  Downloading accelerate-0.32.1-py3-none-any.whl (314 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m314.1/314.1 kB\u001b[0m \u001b[31m41.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hCollecting bitsandbytes\n",
+            "  Downloading bitsandbytes-0.43.1-py3-none-manylinux_2_24_x86_64.whl (119.8 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m119.8/119.8 MB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from unsloth==2024.7) (24.1)\n",
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+            "\u001b[?25hCollecting transformers>=4.42.3 (from unsloth==2024.7)\n",
+            "  Downloading transformers-4.42.4-py3-none-any.whl (9.3 MB)\n",
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+            "\u001b[?25hCollecting datasets>=2.16.0 (from unsloth==2024.7)\n",
+            "  Downloading datasets-2.20.0-py3-none-any.whl (547 kB)\n",
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+            "\u001b[?25hCollecting sentencepiece>=0.2.0 (from unsloth==2024.7)\n",
+            "  Downloading sentencepiece-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
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+            "Requirement already satisfied: wheel>=0.42.0 in /usr/local/lib/python3.10/dist-packages (from unsloth==2024.7) (0.43.0)\n",
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+            "Requirement already satisfied: protobuf<4.0.0 in /usr/local/lib/python3.10/dist-packages (from unsloth==2024.7) (3.20.3)\n",
+            "Requirement already satisfied: torch==2.3.0 in /usr/local/lib/python3.10/dist-packages (from xformers<0.0.27) (2.3.0+cu121)\n",
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+            "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers<0.0.27) (4.12.2)\n",
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+            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers<0.0.27) (2023.6.0)\n",
+            "Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch==2.3.0->xformers<0.0.27)\n",
+            "  Using cached nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)\n",
+            "Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch==2.3.0->xformers<0.0.27)\n",
+            "  Using cached nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)\n",
+            "Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch==2.3.0->xformers<0.0.27)\n",
+            "  Using cached nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)\n",
+            "Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch==2.3.0->xformers<0.0.27)\n",
+            "  Using cached nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)\n",
+            "Collecting nvidia-cublas-cu12==12.1.3.1 (from torch==2.3.0->xformers<0.0.27)\n",
+            "  Using cached nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)\n",
+            "Collecting nvidia-cufft-cu12==11.0.2.54 (from torch==2.3.0->xformers<0.0.27)\n",
+            "  Using cached nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)\n",
+            "Collecting nvidia-curand-cu12==10.3.2.106 (from torch==2.3.0->xformers<0.0.27)\n",
+            "  Using cached nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)\n",
+            "Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch==2.3.0->xformers<0.0.27)\n",
+            "  Using cached nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)\n",
+            "Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch==2.3.0->xformers<0.0.27)\n",
+            "  Using cached nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)\n",
+            "Collecting nvidia-nccl-cu12==2.20.5 (from torch==2.3.0->xformers<0.0.27)\n",
+            "  Using cached nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)\n",
+            "Collecting nvidia-nvtx-cu12==12.1.105 (from torch==2.3.0->xformers<0.0.27)\n",
+            "  Using cached nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)\n",
+            "Requirement already satisfied: triton==2.3.0 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers<0.0.27) (2.3.0)\n",
+            "Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch==2.3.0->xformers<0.0.27)\n",
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+            "Collecting pyarrow>=15.0.0 (from datasets>=2.16.0->unsloth==2024.7)\n",
+            "  Downloading pyarrow-16.1.0-cp310-cp310-manylinux_2_28_x86_64.whl (40.8 MB)\n",
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+            "\u001b[?25hCollecting multiprocess (from datasets>=2.16.0->unsloth==2024.7)\n",
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+            "Requirement already satisfied: docstring-parser>=0.16 in /usr/local/lib/python3.10/dist-packages (from tyro->unsloth==2024.7) (0.16)\n",
+            "Requirement already satisfied: rich>=11.1.0 in /usr/local/lib/python3.10/dist-packages (from tyro->unsloth==2024.7) (13.7.1)\n",
+            "Collecting shtab>=1.5.6 (from tyro->unsloth==2024.7)\n",
+            "  Downloading shtab-1.7.1-py3-none-any.whl (14 kB)\n",
+            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth==2024.7) (1.3.1)\n",
+            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth==2024.7) (23.2.0)\n",
+            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth==2024.7) (1.4.1)\n",
+            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth==2024.7) (6.0.5)\n",
+            "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth==2024.7) (1.9.4)\n",
+            "Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth==2024.7) (4.0.3)\n",
+            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets>=2.16.0->unsloth==2024.7) (3.3.2)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets>=2.16.0->unsloth==2024.7) (3.7)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets>=2.16.0->unsloth==2024.7) (2.0.7)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets>=2.16.0->unsloth==2024.7) (2024.7.4)\n",
+            "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich>=11.1.0->tyro->unsloth==2024.7) (3.0.0)\n",
+            "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich>=11.1.0->tyro->unsloth==2024.7) (2.16.1)\n",
+            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch==2.3.0->xformers<0.0.27) (2.1.5)\n",
+            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets>=2.16.0->unsloth==2024.7) (2.8.2)\n",
+            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets>=2.16.0->unsloth==2024.7) (2023.4)\n",
+            "Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets>=2.16.0->unsloth==2024.7) (2024.1)\n",
+            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch==2.3.0->xformers<0.0.27) (1.3.0)\n",
+            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich>=11.1.0->tyro->unsloth==2024.7) (0.1.2)\n",
+            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->datasets>=2.16.0->unsloth==2024.7) (1.16.0)\n",
+            "Building wheels for collected packages: unsloth\n",
+            "  Building wheel for unsloth (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Created wheel for unsloth: filename=unsloth-2024.7-py3-none-any.whl size=128252 sha256=7d68fc81de3c0eba2bf14d4d0a1c94e6ae58e360ba379b4bc177fbd249a33e54\n",
+            "  Stored in directory: /tmp/pip-ephem-wheel-cache-nuf9hi7a/wheels/ed/d4/e9/76fb290ee3df0a5fc21ce5c2c788e29e9607a2353d8342fd0d\n",
+            "Successfully built unsloth\n",
+            "Installing collected packages: sentencepiece, xxhash, unsloth, shtab, requests, pyarrow, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, dill, nvidia-cusparse-cu12, nvidia-cudnn-cu12, multiprocess, tyro, nvidia-cusolver-cu12, transformers, datasets, xformers, bitsandbytes, accelerate, trl, peft\n",
+            "  Attempting uninstall: sentencepiece\n",
+            "    Found existing installation: sentencepiece 0.1.99\n",
+            "    Uninstalling sentencepiece-0.1.99:\n",
+            "      Successfully uninstalled sentencepiece-0.1.99\n",
+            "  Attempting uninstall: requests\n",
+            "    Found existing installation: requests 2.31.0\n",
+            "    Uninstalling requests-2.31.0:\n",
+            "      Successfully uninstalled requests-2.31.0\n",
+            "  Attempting uninstall: pyarrow\n",
+            "    Found existing installation: pyarrow 14.0.2\n",
+            "    Uninstalling pyarrow-14.0.2:\n",
+            "      Successfully uninstalled pyarrow-14.0.2\n",
+            "  Attempting uninstall: transformers\n",
+            "    Found existing installation: transformers 4.41.2\n",
+            "    Uninstalling transformers-4.41.2:\n",
+            "      Successfully uninstalled transformers-4.41.2\n",
+            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+            "cudf-cu12 24.4.1 requires pyarrow<15.0.0a0,>=14.0.1, but you have pyarrow 16.1.0 which is incompatible.\n",
+            "google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.32.3 which is incompatible.\n",
+            "ibis-framework 8.0.0 requires pyarrow<16,>=2, but you have pyarrow 16.1.0 which is incompatible.\u001b[0m\u001b[31m\n",
+            "\u001b[0mSuccessfully installed accelerate-0.32.1 bitsandbytes-0.43.1 datasets-2.20.0 dill-0.3.8 multiprocess-0.70.16 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.5.82 nvidia-nvtx-cu12-12.1.105 peft-0.11.1 pyarrow-16.1.0 requests-2.32.3 sentencepiece-0.2.0 shtab-1.7.1 transformers-4.42.4 trl-0.9.6 tyro-0.8.5 unsloth-2024.7 xformers-0.0.26.post1 xxhash-3.4.1\n"
+          ]
+        }
+      ]
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+    {
+      "cell_type": "code",
+      "source": [
+        "\n",
+        "from unsloth import FastLanguageModel\n",
+        "from transformers import AutoTokenizer\n",
+        "\n",
+        "# Load the model and tokenizer\n",
+        "model_name = \"vaugheu/BanglaLama3\"\n",
+        "model, tokenizer = FastLanguageModel.from_pretrained(model_name)\n",
+        "\n",
+        "# Set up for inference\n",
+        "FastLanguageModel.for_inference(model)\n",
+        "\n",
+        "# Define the prompt and input\n",
+        "alpaca_prompt = \"\"\"Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n",
+        "### Instruction:\n",
+        "{}\n",
+        "### Input:\n",
+        "{}\n",
+        "### Response:\n",
+        "{}\"\"\"\n",
+        "\n",
+        "# Specify the chat prompt and input\n",
+        "chat_instruction = \"Start a casual conversation.\"\n",
+        "user_input = \"Hello, how are you today?\"\n",
+        "\n",
+        "# Format the prompt and input\n",
+        "chat_text = alpaca_prompt.format(chat_instruction, user_input, \"\")\n",
+        "chat_tokens = tokenizer([chat_text], return_tensors=\"pt\").to(\"cuda\")\n",
+        "\n",
+        "# Generate the chat response\n",
+        "chat_output = model.generate(**chat_tokens, max_new_tokens=64, use_cache=True)\n",
+        "chat_response = tokenizer.batch_decode(chat_output)\n",
+        "\n",
+        "# Display the chat response\n",
+        "print(chat_response)"
+      ],
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+        "id": "FF0ZUDZCiRNm",
+        "outputId": "cd8c5a0c-359a-4303-c37c-8cb36de25e0c"
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n"
+          ]
         },
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+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "==((====))==  Unsloth: Fast Llama patching release 2024.7\n",
+            "   \\\\   /|    GPU: Tesla T4. Max memory: 14.748 GB. Platform = Linux.\n",
+            "O^O/ \\_/ \\    Pytorch: 2.3.0+cu121. CUDA = 7.5. CUDA Toolkit = 12.1.\n",
+            "\\        /    Bfloat16 = FALSE. FA [Xformers = 0.0.26.post1. FA2 = False]\n",
+            " \"-____-\"     Free Apache license: http://github.com/unslothai/unsloth\n"
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+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Unsloth 2024.7 patched 32 layers with 32 QKV layers, 32 O layers and 32 MLP layers.\n",
+            "Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "[\"<|begin_of_text|>Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\\n### Instruction: \\nStart a casual conversation. \\n### Input: \\nHello, how are you today? \\n### Response: \\nI'm doing well, thank you. How about yourself?<|end_of_text|>\"]\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# from unsloth import FastLanguageModel\n",
+        "# from transformers import AutoTokenizer\n",
+        "\n",
+        "# # Load the model and tokenizer\n",
+        "# model_name = \"vaugheu/BanglaLama3\"\n",
+        "# model, tokenizer = FastLanguageModel.from_pretrained(model_name)\n",
+        "\n",
+        "# # Set up for inference\n",
+        "# FastLanguageModel.for_inference(model)\n",
+        "\n",
+        "# # Define the prompt and input\n",
+        "# alpaca_prompt = \"\"\"Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n",
+        "# ### Instruction:\n",
+        "# {}\n",
+        "# ### Input:\n",
+        "# {}\n",
+        "# ### Response:\n",
+        "# {}\"\"\"\n",
+        "\n",
+        "# Start the chat loop\n",
+        "bye = 0\n",
+        "while bye == 0:\n",
+        "    # Get user input for instruction and input\n",
+        "    # chat_instruction = input(\"Instruction: \")\n",
+        "    chat_instruction = \"Start a casual conversation.\"\n",
+        "    user_input = input(\"Input: \")\n",
+        "\n",
+        "    # Format the prompt and input\n",
+        "    chat_text = alpaca_prompt.format(chat_instruction, user_input, \"\")\n",
+        "    chat_tokens = tokenizer([chat_text], return_tensors=\"pt\").to(\"cuda\")\n",
+        "\n",
+        "    # Generate the chat response\n",
+        "    chat_output = model.generate(**chat_tokens, max_new_tokens=64, use_cache=True)\n",
+        "    chat_response = tokenizer.batch_decode(chat_output)\n",
+        "\n",
+        "    # Display the chat response\n",
+        "    # print(\"Response:\", chat_response)\n",
+        "\n",
+        "    # Since chat_response is a list, extract the first item and then find the response part\n",
+        "    chat_response_text = chat_response[0]\n",
+        "\n",
+        "    # Extract the response part\n",
+        "    start_index = chat_response_text.find(\"Response:\") + len(\"Response:\")\n",
+        "    response = chat_response_text[start_index:].strip()\n",
+        "\n",
+        "    print(response)\n",
+        "\n",
+        "\n",
+        "    # Check if user wants to exit\n",
+        "    # (\"Type 'bye' to exit: \")\n",
+        "    if user_input.lower() == \"bye\":\n",
+        "        bye = 1"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "lzn5t9lejaoO",
+        "outputId": "dfd15921-d9de-4387-e2e1-569c1a13637c"
+      },
+      "execution_count": 18,
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Input: hi\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "hey! how are you doing?<|end_of_text|>\n",
+            "Input: i love ai\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "i love ai too! what do you think about ai?<|end_of_text|>\n",
+            "Input: can you speak bangla?\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "আমি বাংলা বলতে পারি না।<|end_of_text|>\n",
+            "Input: keno\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "\"Hey, what's up? How are you doing?\"<|end_of_text|>\n",
+            "Input: তুমি কি আমায় ভালোবাসো? \n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "আমি আপনাকে ভালবাসি।<|end_of_text|>\n",
+            "Input: তুমি কি জান আমার মন কেন খারাপ ? \n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "হ্যাঁ, আমি জানি তোমার মন খারাপ কারণ তুমি আমার সাথে আলো\n",
+            "Input: ভাত খাইস? \n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "হ্যাঁ, আমি প্রতি সকাল একটি সারপ্রাইজ খাই।<|end_of_text|>\n",
+            "Input: ভাত \n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "ভাত কি আপনার পছন্দের খাদ্য?<|end_of_text|>\n",
+            "Input: না \n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "এটা খুব সুন্দর দেখতে আছে। আপনি কি এটি বইটি কেনেছেন?\n",
+            "Input: পাইথনে একটা গেম বানও \n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "পাইথনে একটা গে� বানানো কি একটা কঠিন কাজ? আমি কখনও কখ\n",
+            "Input: bye\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Bye!<|end_of_text|>\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "mNnwRWHrl76r"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ],
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+    "accelerator": "GPU",
+    "colab": {
+      "gpuType": "T4",
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
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+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
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@@ -6130,10 +9535,26 @@
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           }
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-        "fe99021bf8fe4b6e8436cc5a89d7bdbf": {
+        "689f8120a1f44d0d934d24c20b5daf4c": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_name": "ProgressStyleModel",
+          "model_module_version": "1.5.0",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "ProgressStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "bar_color": null,
+            "description_width": ""
+          }
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             "_model_module_version": "1.2.0",
@@ -6181,10 +9602,25 @@
             "visibility": null,
             "width": null
           }
+        },
+        "d51a496abd77460d8e3605f4c978d5e1": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_name": "DescriptionStyleModel",
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+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
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+            "description_width": ""
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   "nbformat_minor": 0
-}
+}
\ No newline at end of file