diff --git a/examples/llm_inference/conversion/llm_conversion.ipynb b/examples/llm_inference/conversion/llm_conversion.ipynb
index f9966831..bbb21074 100644
--- a/examples/llm_inference/conversion/llm_conversion.ipynb
+++ b/examples/llm_inference/conversion/llm_conversion.ipynb
@@ -757,7 +757,7 @@
         "# @title Run { display-mode: \"form\"}\n",
         "\n",
         "model = widgets.Dropdown(\n",
-        "    options=[\"Gemma 2B\", \"Falcon 1B\", \"StableLM 3B\", \"Phi 2\"],\n",
+        "    options=[\"Gemma 2B\",\"Gemma 7B\", \"Falcon 1B\", \"StableLM 3B\", \"Phi 2\"],\n",
         "    value='Gemma 2B',\n",
         "    description='model',\n",
         "    disabled=False,\n",
@@ -777,16 +777,34 @@
         "    disabled=False\n",
         ")\n",
         "\n",
-        "def on_change_model(change):\n",
-        "  if change[\"new\"] != 'Gemma 2b':\n",
-        "    token_description.layout.display = \"none\"\n",
-        "    token.layout.display = \"none\"\n",
+        "options_mapping = {\n",
+        "              'Gemma 2B': ['cpu', 'gpu'],\n",
+        "              'Gemma 7B': ['gpu'],\n",
+        "              'Falcon 1B': ['cpu', 'gpu'],\n",
+        "              'StableLM 3B': ['cpu', 'gpu'],\n",
+        "              'Phi 2': ['cpu', 'gpu']\n",
+        "}\n",
+        "\n",
+        "def on_use_gpu(change):\n",
+        "  selected_value = change['new']\n",
+        "\n",
+        "  if selected_value in options_mapping:\n",
+        "    backend.options = options_mapping[selected_value]\n",
+        "    backend.value = options_mapping[selected_value][0]\n",
         "  else:\n",
-        "    token_description.layout.display = \"flex\"\n",
-        "    token.layout.display = \"flex\"\n",
+        "    token.options = []\n",
+        "    token.value = None\n",
         "\n",
-        "model.observe(on_change_model, names=['value'])\n",
+        "def on_change_model(change):\n",
+        "  selected_values = ['Gemma 2B','Gemma 7B']\n",
+        "\n",
+        "  if change['new'] in selected_values:\n",
+        "    token.layout.display = 'flex'\n",
+        "  else:\n",
+        "    token.layout.display = 'none'\n",
         "\n",
+        "model.observe(on_change_model, names='value')\n",
+        "model.observe(on_use_gpu, names='value')\n",
         "\n",
         "\n",
         "display(model)\n",
@@ -802,7 +820,7 @@
         "\n",
         "\n",
         "\n",
-        "def gemma_download(token):\n",
+        "def gemma2b_download(token):\n",
         "  REPO_ID = \"google/gemma-2b-it\"\n",
         "  FILENAMES = [\"tokenizer.json\", \"tokenizer_config.json\", \"model-00001-of-00002.safetensors\", \"model-00002-of-00002.safetensors\"]\n",
         "  os.environ['HF_TOKEN'] = token\n",
@@ -810,6 +828,14 @@
         "    for filename in FILENAMES:\n",
         "      hf_hub_download(repo_id=REPO_ID, filename=filename, local_dir=\"./gemma-2b-it\")\n",
         "\n",
+        "def gemma7b_download(token):\n",
+        "  REPO_ID = \"google/gemma-1.1-7b-it\"\n",
+        "  FILENAMES = [\"tokenizer.json\", \"tokenizer_config.json\", \"model-00001-of-00004.safetensors\", \"model-00002-of-00004.safetensors\", \"model-00003-of-00004.safetensors\", \"model-00004-of-00004.safetensors\"]\n",
+        "  os.environ['HF_TOKEN'] = token\n",
+        "  with out:\n",
+        "    for filename in FILENAMES:\n",
+        "      hf_hub_download(repo_id=REPO_ID, filename=filename, local_dir=\"./gemma-1.1-7b-it\")\n",
+        "\n",
         "def falcon_download():\n",
         "  REPO_ID = \"tiiuae/falcon-rw-1b\"\n",
         "  FILENAMES = [\"tokenizer.json\", \"tokenizer_config.json\", \"pytorch_model.bin\"]\n",
@@ -832,13 +858,20 @@
         "      hf_hub_download(repo_id=REPO_ID, filename=filename, local_dir=\"./phi-2\")\n",
         "\n",
         "\n",
-        "def gemma_convert_config(backend):\n",
+        "def gemma2b_convert_config(backend):\n",
         "  input_ckpt = '/content/gemma-2b-it/'\n",
         "  vocab_model_file = '/content/gemma-2b-it/'\n",
         "  output_dir = '/content/intermediate/gemma-2b-it/'\n",
         "  output_tflite_file = f'/content/converted_models/gemma_{backend}.bin'\n",
         "  return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)\n",
         "\n",
+        "def gemma7b_convert_config(backend):\n",
+        "  input_ckpt = '/content//gemma-1.1-7b-it/'\n",
+        "  vocab_model_file = '/content//gemma-1.1-7b-it/'\n",
+        "  output_dir = '/content/intermediate//gemma-1.1-7b-it/'\n",
+        "  output_tflite_file = f'/content/converted_models/gemma_{backend}.bin'\n",
+        "  return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', model_type='GEMMA_7B', backend=backend, output_dir=output_dir, combine_file_only=False, vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)\n",
+        "\n",
         "def falcon_convert_config(backend):\n",
         "  input_ckpt = '/content/falcon-rw-1b/pytorch_model.bin'\n",
         "  vocab_model_file = '/content/falcon-rw-1b/'\n",
@@ -874,7 +907,9 @@
         "    backend.disabled = True\n",
         "\n",
         "    if model.value == 'Gemma 2B':\n",
-        "      gemma_download(token.value)\n",
+        "      gemma2b_download(token.value)\n",
+        "    elif model.value == 'Gemma 7B':\n",
+        "      gemma7b_download(token.value)\n",
         "    elif model.value == 'Falcon 1B':\n",
         "      falcon_download()\n",
         "    elif model.value == 'StableLM 3B':\n",
@@ -891,7 +926,9 @@
         "    button.description = \"Converting ...\"\n",
         "\n",
         "    if model.value == 'Gemma 2B':\n",
-        "      config = gemma_convert_config(backend.value)\n",
+        "      config = gemma2b_convert_config(backend.value)\n",
+        "    elif model.value == 'Gemma 7B':\n",
+        "      config = gemma7b_convert_config(backend.value)\n",
         "    elif model.value == 'Falcon 1B':\n",
         "      config = falcon_convert_config(backend.value)\n",
         "    elif model.value == 'StableLM 3B':\n",