diff --git a/nb/Whisper.ipynb b/nb/Whisper.ipynb
index f8a021c4..bd15bd22 100644
--- a/nb/Whisper.ipynb
+++ b/nb/Whisper.ipynb
@@ -10,7 +10,7 @@
     "<div class=\"align-center\">\n",
     "<a href=\"https://unsloth.ai/\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",
     "<a href=\"https://discord.gg/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Discord button.png\" width=\"145\"></a>\n",
-    "<a href=\"https://docs.unsloth.ai/\"><img src=\"https://github.com/unslothai/unsloth/blob/main/images/documentation%20green%20button.png?raw=true\" width=\"125\"></a></a> Join Discord if you need help + \u2b50 <i>Star us on <a href=\"https://github.com/unslothai/unsloth\">Github</a> </i> \u2b50\n",
+    "<a href=\"https://docs.unsloth.ai/\"><img src=\"https://github.com/unslothai/unsloth/blob/main/images/documentation%20green%20button.png?raw=true\" width=\"125\"></a></a> Join Discord if you need help + ⭐ <i>Star us on <a href=\"https://github.com/unslothai/unsloth\">Github</a> </i> ⭐\n",
     "</div>\n",
     "\n",
     "To install Unsloth on your own computer, follow the installation instructions on our Github page [here](https://docs.unsloth.ai/get-started/installing-+-updating).\n",
@@ -38,7 +38,7 @@
     "\n",
     "Introducing Unsloth [Standby for RL](https://docs.unsloth.ai/basics/memory-efficient-rl): GRPO is now faster, uses 30% less memory with 2x longer context.\n",
     "\n",
-    "Gpt-oss fine-tuning now supports 8\u00d7 longer context with 0 accuracy loss. [Read more](https://docs.unsloth.ai/basics/long-context-gpt-oss-training)\n",
+    "Gpt-oss fine-tuning now supports 8× longer context with 0 accuracy loss. [Read more](https://docs.unsloth.ai/basics/long-context-gpt-oss-training)\n",
     "\n",
     "Unsloth now supports Text-to-Speech (TTS) models. Read our [guide here](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning).\n",
     "\n",
@@ -56,12 +56,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {
     "id": "1dfs7muBF00Q"
    },
    "outputs": [],
-   "source": "%%capture\nimport os, re\nif \"COLAB_\" not in \"\".join(os.environ.keys()):\n    !pip install unsloth\nelse:\n    # Do this only in Colab notebooks! Otherwise use pip install unsloth\n    import torch; v = re.match(r\"[0-9\\.]{3,}\", str(torch.__version__)).group(0)\n    xformers = \"xformers==\" + (\"0.0.32.post2\" if v == \"2.8.0\" else \"0.0.29.post3\")\n    !pip install --no-deps bitsandbytes accelerate {xformers} peft trl triton cut_cross_entropy unsloth_zoo\n    !pip install sentencepiece protobuf \"datasets>=3.4.1,<4.0.0\" \"huggingface_hub>=0.34.0\" hf_transfer\n    !pip install --no-deps unsloth\n!pip install transformers==4.55.4\n!pip install --no-deps trl==0.22.2\n!pip install librosa soundfile evaluate jiwer"
+   "source": [
+    "%%capture\n",
+    "import os, re\n",
+    "if \"COLAB_\" not in \"\".join(os.environ.keys()):\n",
+    "    !pip install unsloth\n",
+    "else:\n",
+    "    # Do this only in Colab notebooks! Otherwise use pip install unsloth\n",
+    "    import torch; v = re.match(r\"[0-9\\.]{3,}\", str(torch.__version__)).group(0)\n",
+    "    xformers = \"xformers==\" + (\"0.0.32.post2\" if v == \"2.8.0\" else \"0.0.29.post3\")\n",
+    "    !pip install --no-deps bitsandbytes accelerate {xformers} peft trl triton cut_cross_entropy unsloth_zoo\n",
+    "    !pip install sentencepiece protobuf \"datasets>=3.4.1,<4.0.0\" \"huggingface_hub>=0.34.0\" hf_transfer\n",
+    "    !pip install --no-deps unsloth\n",
+    "!pip install transformers==4.51.3\n",
+    "!pip install --no-deps trl==0.22.2\n",
+    "!pip install librosa soundfile evaluate jiwer"
+   ]
   },
   {
    "cell_type": "code",
@@ -177,11 +192,11 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
-      "\ud83e\udda5 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n",
-      "\ud83e\udda5 Unsloth Zoo will now patch everything to make training faster!\n",
+      "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n",
+      "🦥 Unsloth Zoo will now patch everything to make training faster!\n",
       "==((====))==  Unsloth 2025.8.10: Fast Whisper patching. Transformers: 4.51.3.\n",
       "   \\\\   /|    Tesla T4. Num GPUs = 1. Max memory: 14.741 GB. Platform: Linux.\n",
       "O^O/ \\_/ \\    Torch: 2.8.0+cu126. CUDA: 7.5. CUDA Toolkit: 12.6. Triton: 3.4.0\n",
@@ -192,134 +207,134 @@
      ]
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": [
-       "model.safetensors:   0%|          | 0.00/3.09G [00:00<?, ?B/s]"
-      ],
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c892d3ce361746bfac00c8f6ead328c6",
        "version_major": 2,
-       "version_minor": 0,
-       "model_id": "c892d3ce361746bfac00c8f6ead328c6"
-      }
+       "version_minor": 0
+      },
+      "text/plain": [
+       "model.safetensors:   0%|          | 0.00/3.09G [00:00<?, ?B/s]"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": [
-       "generation_config.json: 0.00B [00:00, ?B/s]"
-      ],
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "fd39ef43a0734193a8dc11f96df6df4a",
        "version_major": 2,
-       "version_minor": 0,
-       "model_id": "fd39ef43a0734193a8dc11f96df6df4a"
-      }
+       "version_minor": 0
+      },
+      "text/plain": [
+       "generation_config.json: 0.00B [00:00, ?B/s]"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": [
-       "preprocessor_config.json:   0%|          | 0.00/357 [00:00<?, ?B/s]"
-      ],
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "2d063de2bf0d48719034ac49841ad381",
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-       "model_id": "2d063de2bf0d48719034ac49841ad381"
-      }
+       "version_minor": 0
+      },
+      "text/plain": [
+       "preprocessor_config.json:   0%|          | 0.00/357 [00:00<?, ?B/s]"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "display_data",
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-      "text/plain": [
-       "tokenizer_config.json: 0.00B [00:00, ?B/s]"
-      ],
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-       "model_id": "145427062325485abca5ddbaaa9a4df7"
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+       "version_minor": 0
+      },
+      "text/plain": [
+       "tokenizer_config.json: 0.00B [00:00, ?B/s]"
+      ]
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-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": [
-       "vocab.json: 0.00B [00:00, ?B/s]"
-      ],
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+       "model_id": "1d95a3e1ec884421a21199c5ae798343",
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-       "model_id": "1d95a3e1ec884421a21199c5ae798343"
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+       "version_minor": 0
+      },
+      "text/plain": [
+       "vocab.json: 0.00B [00:00, ?B/s]"
+      ]
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-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
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-      "text/plain": [
-       "merges.txt: 0.00B [00:00, ?B/s]"
-      ],
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+       "model_id": "dd1d74b363d34bd08b0c181242f44f0d",
        "version_major": 2,
-       "version_minor": 0,
-       "model_id": "dd1d74b363d34bd08b0c181242f44f0d"
-      }
+       "version_minor": 0
+      },
+      "text/plain": [
+       "merges.txt: 0.00B [00:00, ?B/s]"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": [
-       "normalizer.json: 0.00B [00:00, ?B/s]"
-      ],
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e997bbef44134d18b8ebd3a3bff41e4a",
        "version_major": 2,
-       "version_minor": 0,
-       "model_id": "e997bbef44134d18b8ebd3a3bff41e4a"
-      }
+       "version_minor": 0
+      },
+      "text/plain": [
+       "normalizer.json: 0.00B [00:00, ?B/s]"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": [
-       "added_tokens.json: 0.00B [00:00, ?B/s]"
-      ],
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "43b28881a0a745a382dbe815613a2193",
        "version_major": 2,
-       "version_minor": 0,
-       "model_id": "43b28881a0a745a382dbe815613a2193"
-      }
+       "version_minor": 0
+      },
+      "text/plain": [
+       "added_tokens.json: 0.00B [00:00, ?B/s]"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": [
-       "special_tokens_map.json: 0.00B [00:00, ?B/s]"
-      ],
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1cfdda4a52714e1ba1945202bec38c4b",
        "version_major": 2,
-       "version_minor": 0,
-       "model_id": "1cfdda4a52714e1ba1945202bec38c4b"
-      }
+       "version_minor": 0
+      },
+      "text/plain": [
+       "special_tokens_map.json: 0.00B [00:00, ?B/s]"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "unsloth/whisper-large-v3 does not have a padding token! Will use pad_token = <|endoftext|>.\n"
      ]
@@ -378,8 +393,8 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "Unsloth: Making `model.base_model.model.model.encoder` require gradients\n"
      ]
@@ -462,53 +477,53 @@
    },
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": [
-       "README.md: 0.00B [00:00, ?B/s]"
-      ],
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "df36cd96b36f4cdd9322604303e79fdb",
        "version_major": 2,
-       "version_minor": 0,
-       "model_id": "df36cd96b36f4cdd9322604303e79fdb"
-      }
+       "version_minor": 0
+      },
+      "text/plain": [
+       "README.md: 0.00B [00:00, ?B/s]"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": [
-       "data/train-00000-of-00001.parquet:   0%|          | 0.00/328M [00:00<?, ?B/s]"
-      ],
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "7bdeabde0e574f2cbfda546e1a66f4fe",
        "version_major": 2,
-       "version_minor": 0,
-       "model_id": "7bdeabde0e574f2cbfda546e1a66f4fe"
-      }
+       "version_minor": 0
+      },
+      "text/plain": [
+       "data/train-00000-of-00001.parquet:   0%|          | 0.00/328M [00:00<?, ?B/s]"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": [
-       "Generating train split:   0%|          | 0/1195 [00:00<?, ? examples/s]"
-      ],
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "82baca07cf814b99b22fcb10e73b76c0",
        "version_major": 2,
-       "version_minor": 0,
-       "model_id": "82baca07cf814b99b22fcb10e73b76c0"
-      }
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Generating train split:   0%|          | 0/1195 [00:00<?, ? examples/s]"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "stream",
      "name": "stderr",
+     "output_type": "stream",
      "text": [
-      "Train split: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1123/1123 [00:47<00:00, 23.69it/s]\n",
-      "Test split: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 72/72 [00:01<00:00, 50.11it/s]\n"
+      "Train split: 100%|██████████| 1123/1123 [00:47<00:00, 23.69it/s]\n",
+      "Test split: 100%|██████████| 72/72 [00:01<00:00, 50.11it/s]\n"
      ]
     }
    ],
@@ -546,7 +561,6 @@
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {
-    "id": "_w6weK8CGScg",
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 49,
@@ -564,22 +578,23 @@
       "9fd603fabb304f12b435485b882bef2f"
      ]
     },
+    "id": "_w6weK8CGScg",
     "outputId": "1595dd2d-fb6c-4207-88ab-e6026457e315"
    },
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": [
-       "Downloading builder script: 0.00B [00:00, ?B/s]"
-      ],
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "8ad38901c81d4c7da0462720afaf883c",
        "version_major": 2,
-       "version_minor": 0,
-       "model_id": "8ad38901c81d4c7da0462720afaf883c"
-      }
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading builder script: 0.00B [00:00, ?B/s]"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -655,8 +670,8 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stderr",
+     "output_type": "stream",
      "text": [
       "/tmp/ipython-input-715647589.py:3: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Seq2SeqTrainer.__init__`. Use `processing_class` instead.\n",
       "  trainer = Seq2SeqTrainer(\n"
@@ -711,8 +726,8 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "GPU = Tesla T4. Max memory = 14.741 GB.\n",
       "3.012 GB of memory reserved.\n"
@@ -741,8 +756,8 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stderr",
+     "output_type": "stream",
      "text": [
       "==((====))==  Unsloth - 2x faster free finetuning | Num GPUs used = 1\n",
       "   \\\\   /|    Num examples = 1,123 | Num Epochs = 1 | Total steps = 60\n",
@@ -757,18 +772,14 @@
      ]
     },
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "Unsloth: Will smartly offload gradients to save VRAM!\n"
      ]
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ],
       "text/html": [
        "\n",
        "    <div>\n",
@@ -860,9 +871,13 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
       ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -881,8 +896,8 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "422.5309 seconds used for training.\n",
       "7.04 minutes used for training.\n",
@@ -935,28 +950,24 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "--2025-08-30 12:08:09--  https://upload.wikimedia.org/wikipedia/commons/5/5b/Speech_12dB_s16.flac\n",
       "Resolving upload.wikimedia.org (upload.wikimedia.org)... 198.35.26.112, 2620:0:863:ed1a::2:b\n",
       "Connecting to upload.wikimedia.org (upload.wikimedia.org)|198.35.26.112|:443... connected.\n",
       "HTTP request sent, awaiting response... 200 OK\n",
       "Length: 495373 (484K) [audio/x-flac]\n",
-      "Saving to: \u2018Speech_12dB_s16.flac\u2019\n",
+      "Saving to: ‘Speech_12dB_s16.flac’\n",
       "\n",
       "Speech_12dB_s16.fla 100%[===================>] 483.76K  --.-KB/s    in 0.09s   \n",
       "\n",
-      "2025-08-30 12:08:09 (5.32 MB/s) - \u2018Speech_12dB_s16.flac\u2019 saved [495373/495373]\n",
+      "2025-08-30 12:08:09 (5.32 MB/s) - ‘Speech_12dB_s16.flac’ saved [495373/495373]\n",
       "\n"
      ]
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": [
-       "<IPython.lib.display.Audio object>"
-      ],
       "text/html": [
        "\n",
        "                <audio  controls=\"controls\" >\n",
@@ -964,9 +975,13 @@
        "                    Your browser does not support the audio element.\n",
        "                </audio>\n",
        "              "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.Audio object>"
       ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -988,8 +1003,8 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stderr",
+     "output_type": "stream",
      "text": [
       "Device set to use cuda:0\n",
       "/usr/local/lib/python3.12/dist-packages/transformers/models/whisper/generation_whisper.py:573: FutureWarning: The input name `inputs` is deprecated. Please make sure to use `input_features` instead.\n",
@@ -1000,8 +1015,8 @@
      ]
     },
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       " The birch canoe slid on the smooth planks. Glued the sheet to the dark blue background. It's easy to tell the depth of a well. Four hours of steady work faced us.\n"
      ]
@@ -1053,14 +1068,14 @@
    },
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "[]"
       ]
      },
+     "execution_count": 16,
      "metadata": {},
-     "execution_count": 16
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -1125,7 +1140,7 @@
     "  <a href=\"https://discord.gg/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Discord.png\" width=\"145\"></a>\n",
     "  <a href=\"https://docs.unsloth.ai/\"><img src=\"https://github.com/unslothai/unsloth/blob/main/images/documentation%20green%20button.png?raw=true\" width=\"125\"></a>\n",
     "\n",
-    "  Join Discord if you need help + \u2b50\ufe0f <i>Star us on <a href=\"https://github.com/unslothai/unsloth\">Github</a> </i> \u2b50\ufe0f\n",
+    "  Join Discord if you need help + ⭐️ <i>Star us on <a href=\"https://github.com/unslothai/unsloth\">Github</a> </i> ⭐️\n",
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-     "model_name": "LayoutModel",
      "model_module_version": "1.2.0",
+     "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
@@ -5585,25 +5615,10 @@
       "width": null
      }
     },
-    "9fd603fabb304f12b435485b882bef2f": {
-     "model_module": "@jupyter-widgets/controls",
-     "model_name": "DescriptionStyleModel",
-     "model_module_version": "1.5.0",
-     "state": {
-      "_model_module": "@jupyter-widgets/controls",
-      "_model_module_version": "1.5.0",
-      "_model_name": "DescriptionStyleModel",
-      "_view_count": null,
-      "_view_module": "@jupyter-widgets/base",
-      "_view_module_version": "1.2.0",
-      "_view_name": "StyleView",
-      "description_width": ""
-     }
-    },
     "state": {}
    }
   }
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
\ No newline at end of file
+}