diff --git a/docs/backend/native_api.ipynb b/docs/backend/native_api.ipynb
index b9ede4263..b7d90a477 100644
--- a/docs/backend/native_api.ipynb
+++ b/docs/backend/native_api.ipynb
@@ -49,7 +49,7 @@
     "\n",
     "\n",
     "server_process, port = launch_server_cmd(\n",
-    "    \"python -m sglang.launch_server --model-path meta-llama/Llama-3.2-1B-Instruct --host 0.0.0.0\"\n",
+    "    \"python3 -m sglang.launch_server --model-path qwen/qwen2.5-0.5b-instruct --host 0.0.0.0\"\n",
     ")\n",
     "\n",
     "wait_for_server(f\"http://localhost:{port}\")"
@@ -105,9 +105,9 @@
     "response = requests.get(url)\n",
     "response_json = response.json()\n",
     "print_highlight(response_json)\n",
-    "assert response_json[\"model_path\"] == \"meta-llama/Llama-3.2-1B-Instruct\"\n",
+    "assert response_json[\"model_path\"] == \"qwen/qwen2.5-0.5b-instruct\"\n",
     "assert response_json[\"is_generation\"] is True\n",
-    "assert response_json[\"tokenizer_path\"] == \"meta-llama/Llama-3.2-1B-Instruct\"\n",
+    "assert response_json[\"tokenizer_path\"] == \"qwen/qwen2.5-0.5b-instruct\"\n",
     "assert response_json.keys() == {\"model_path\", \"is_generation\", \"tokenizer_path\"}"
    ]
   },
@@ -213,7 +213,7 @@
     "# successful update with same architecture and size\n",
     "\n",
     "url = f\"http://localhost:{port}/update_weights_from_disk\"\n",
-    "data = {\"model_path\": \"meta-llama/Llama-3.2-1B\"}\n",
+    "data = {\"model_path\": \"qwen/qwen2.5-0.5b-instruct\"}\n",
     "\n",
     "response = requests.post(url, json=data)\n",
     "print_highlight(response.text)\n",
@@ -230,7 +230,7 @@
     "# failed update with different parameter size or wrong name\n",
     "\n",
     "url = f\"http://localhost:{port}/update_weights_from_disk\"\n",
-    "data = {\"model_path\": \"meta-llama/Llama-3.2-1B-wrong\"}\n",
+    "data = {\"model_path\": \"qwen/qwen2.5-0.5b-instruct-wrong\"}\n",
     "\n",
     "response = requests.post(url, json=data)\n",
     "response_json = response.json()\n",
@@ -238,11 +238,20 @@
     "assert response_json[\"success\"] is False\n",
     "assert response_json[\"message\"] == (\n",
     "    \"Failed to get weights iterator: \"\n",
-    "    \"meta-llama/Llama-3.2-1B-wrong\"\n",
+    "    \"qwen/qwen2.5-0.5b-instruct-wrong\"\n",
     "    \" (repository not found).\"\n",
     ")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "terminate_process(server_process)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -259,11 +268,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "terminate_process(server_process)\n",
-    "\n",
     "embedding_process, port = launch_server_cmd(\n",
     "    \"\"\"\n",
-    "python -m sglang.launch_server --model-path Alibaba-NLP/gte-Qwen2-7B-instruct \\\n",
+    "python3 -m sglang.launch_server --model-path Alibaba-NLP/gte-Qwen2-1.5B-instruct \\\n",
     "    --host 0.0.0.0 --is-embedding\n",
     "\"\"\"\n",
     ")\n",
@@ -280,7 +287,7 @@
     "# successful encode for embedding model\n",
     "\n",
     "url = f\"http://localhost:{port}/encode\"\n",
-    "data = {\"model\": \"Alibaba-NLP/gte-Qwen2-7B-instruct\", \"text\": \"Once upon a time\"}\n",
+    "data = {\"model\": \"Alibaba-NLP/gte-Qwen2-1.5B-instruct\", \"text\": \"Once upon a time\"}\n",
     "\n",
     "response = requests.post(url, json=data)\n",
     "response_json = response.json()\n",
@@ -318,7 +325,7 @@
     "\n",
     "reward_process, port = launch_server_cmd(\n",
     "    \"\"\"\n",
-    "python -m sglang.launch_server --model-path Skywork/Skywork-Reward-Llama-3.1-8B-v0.2 --host 0.0.0.0 --is-embedding\n",
+    "python3 -m sglang.launch_server --model-path Skywork/Skywork-Reward-Llama-3.1-8B-v0.2 --host 0.0.0.0 --is-embedding\n",
     "\"\"\"\n",
     ")\n",
     "\n",
@@ -383,7 +390,7 @@
    "outputs": [],
    "source": [
     "expert_record_server_process, port = launch_server_cmd(\n",
-    "    \"python -m sglang.launch_server --model-path Qwen/Qwen1.5-MoE-A2.7B --host 0.0.0.0\"\n",
+    "    \"python3 -m sglang.launch_server --model-path Qwen/Qwen1.5-MoE-A2.7B --host 0.0.0.0\"\n",
     ")\n",
     "\n",
     "wait_for_server(f\"http://localhost:{port}\")"
@@ -449,7 +456,7 @@
    "source": [
     "tokenizer_free_server_process, port = launch_server_cmd(\n",
     "    \"\"\"\n",
-    "python3 -m sglang.launch_server --model-path meta-llama/Llama-3.2-1B-Instruct --skip-tokenizer-init\n",
+    "python3 -m sglang.launch_server --model-path qwen/qwen2.5-0.5b-instruct --skip-tokenizer-init\n",
     "\"\"\"\n",
     ")\n",
     "\n",
@@ -464,7 +471,7 @@
    "source": [
     "from transformers import AutoTokenizer\n",
     "\n",
-    "tokenizer = AutoTokenizer.from_pretrained(\"meta-llama/Llama-3.2-1B-Instruct\")\n",
+    "tokenizer = AutoTokenizer.from_pretrained(\"qwen/qwen2.5-0.5b-instruct\")\n",
     "\n",
     "input_text = \"What is the capital of France?\"\n",
     "\n",
diff --git a/docs/backend/offline_engine_api.ipynb b/docs/backend/offline_engine_api.ipynb
index fac3532a0..040fd17a8 100644
--- a/docs/backend/offline_engine_api.ipynb
+++ b/docs/backend/offline_engine_api.ipynb
@@ -83,7 +83,7 @@
     "    nest_asyncio.apply()\n",
     "\n",
     "\n",
-    "llm = sgl.Engine(model_path=\"meta-llama/Meta-Llama-3.1-8B-Instruct\")"
+    "llm = sgl.Engine(model_path=\"qwen/qwen2.5-0.5b-instruct\")"
    ]
   },
   {
diff --git a/docs/backend/openai_api_completions.ipynb b/docs/backend/openai_api_completions.ipynb
index b874283d4..2fc74a7be 100644
--- a/docs/backend/openai_api_completions.ipynb
+++ b/docs/backend/openai_api_completions.ipynb
@@ -44,7 +44,7 @@
     "\n",
     "\n",
     "server_process, port = launch_server_cmd(\n",
-    "    \"python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3.1-8B-Instruct --host 0.0.0.0\"\n",
+    "    \"python3 -m sglang.launch_server --model-path qwen/qwen2.5-0.5b-instruct --host 0.0.0.0 --mem-fraction-static 0.8\"\n",
     ")\n",
     "\n",
     "wait_for_server(f\"http://localhost:{port}\")\n",
@@ -75,7 +75,7 @@
     "client = openai.Client(base_url=f\"http://127.0.0.1:{port}/v1\", api_key=\"None\")\n",
     "\n",
     "response = client.chat.completions.create(\n",
-    "    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
+    "    model=\"qwen/qwen2.5-0.5b-instruct\",\n",
     "    messages=[\n",
     "        {\"role\": \"user\", \"content\": \"List 3 countries and their capitals.\"},\n",
     "    ],\n",
@@ -104,7 +104,7 @@
    "outputs": [],
    "source": [
     "response = client.chat.completions.create(\n",
-    "    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
+    "    model=\"qwen/qwen2.5-0.5b-instruct\",\n",
     "    messages=[\n",
     "        {\n",
     "            \"role\": \"system\",\n",
@@ -143,7 +143,7 @@
    "outputs": [],
    "source": [
     "stream = client.chat.completions.create(\n",
-    "    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
+    "    model=\"qwen/qwen2.5-0.5b-instruct\",\n",
     "    messages=[{\"role\": \"user\", \"content\": \"Say this is a test\"}],\n",
     "    stream=True,\n",
     ")\n",
@@ -169,7 +169,7 @@
    "outputs": [],
    "source": [
     "response = client.completions.create(\n",
-    "    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
+    "    model=\"qwen/qwen2.5-0.5b-instruct\",\n",
     "    prompt=\"List 3 countries and their capitals.\",\n",
     "    temperature=0,\n",
     "    max_tokens=64,\n",
@@ -198,7 +198,7 @@
    "outputs": [],
    "source": [
     "response = client.completions.create(\n",
-    "    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
+    "    model=\"qwen/qwen2.5-0.5b-instruct\",\n",
     "    prompt=\"Write a short story about a space explorer.\",\n",
     "    temperature=0.7,  # Moderate temperature for creative writing\n",
     "    max_tokens=150,  # Longer response for a story\n",
@@ -257,7 +257,7 @@
     "        \"method\": \"POST\",\n",
     "        \"url\": \"/chat/completions\",\n",
     "        \"body\": {\n",
-    "            \"model\": \"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
+    "            \"model\": \"qwen/qwen2.5-0.5b-instruct\",\n",
     "            \"messages\": [\n",
     "                {\"role\": \"user\", \"content\": \"Tell me a joke about programming\"}\n",
     "            ],\n",
@@ -269,7 +269,7 @@
     "        \"method\": \"POST\",\n",
     "        \"url\": \"/chat/completions\",\n",
     "        \"body\": {\n",
-    "            \"model\": \"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
+    "            \"model\": \"qwen/qwen2.5-0.5b-instruct\",\n",
     "            \"messages\": [{\"role\": \"user\", \"content\": \"What is Python?\"}],\n",
     "            \"max_tokens\": 50,\n",
     "        },\n",
@@ -362,7 +362,7 @@
     "            \"method\": \"POST\",\n",
     "            \"url\": \"/chat/completions\",\n",
     "            \"body\": {\n",
-    "                \"model\": \"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
+    "                \"model\": \"qwen/qwen2.5-0.5b-instruct\",\n",
     "                \"messages\": [\n",
     "                    {\n",
     "                        \"role\": \"system\",\n",
@@ -439,7 +439,7 @@
     "            \"method\": \"POST\",\n",
     "            \"url\": \"/chat/completions\",\n",
     "            \"body\": {\n",
-    "                \"model\": \"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
+    "                \"model\": \"qwen/qwen2.5-0.5b-instruct\",\n",
     "                \"messages\": [\n",
     "                    {\n",
     "                        \"role\": \"system\",\n",
diff --git a/docs/backend/openai_api_embeddings.ipynb b/docs/backend/openai_api_embeddings.ipynb
index 38543fa3b..742185f82 100644
--- a/docs/backend/openai_api_embeddings.ipynb
+++ b/docs/backend/openai_api_embeddings.ipynb
@@ -40,7 +40,7 @@
     "\n",
     "embedding_process, port = launch_server_cmd(\n",
     "    \"\"\"\n",
-    "python -m sglang.launch_server --model-path Alibaba-NLP/gte-Qwen2-7B-instruct \\\n",
+    "python3 -m sglang.launch_server --model-path Alibaba-NLP/gte-Qwen2-1.5B-instruct \\\n",
     "    --host 0.0.0.0 --is-embedding\n",
     "\"\"\"\n",
     ")\n",
@@ -66,7 +66,7 @@
     "text = \"Once upon a time\"\n",
     "\n",
     "curl_text = f\"\"\"curl -s http://localhost:{port}/v1/embeddings \\\n",
-    "  -d '{{\"model\": \"Alibaba-NLP/gte-Qwen2-7B-instruct\", \"input\": \"{text}\"}}'\"\"\"\n",
+    "  -d '{{\"model\": \"Alibaba-NLP/gte-Qwen2-1.5B-instruct\", \"input\": \"{text}\"}}'\"\"\"\n",
     "\n",
     "text_embedding = json.loads(subprocess.check_output(curl_text, shell=True))[\"data\"][0][\n",
     "    \"embedding\"\n",
@@ -94,7 +94,7 @@
     "\n",
     "response = requests.post(\n",
     "    f\"http://localhost:{port}/v1/embeddings\",\n",
-    "    json={\"model\": \"Alibaba-NLP/gte-Qwen2-7B-instruct\", \"input\": text},\n",
+    "    json={\"model\": \"Alibaba-NLP/gte-Qwen2-1.5B-instruct\", \"input\": text},\n",
     ")\n",
     "\n",
     "text_embedding = response.json()[\"data\"][0][\"embedding\"]\n",
@@ -121,7 +121,7 @@
     "\n",
     "# Text embedding example\n",
     "response = client.embeddings.create(\n",
-    "    model=\"Alibaba-NLP/gte-Qwen2-7B-instruct\",\n",
+    "    model=\"Alibaba-NLP/gte-Qwen2-1.5B-instruct\",\n",
     "    input=text,\n",
     ")\n",
     "\n",
@@ -150,11 +150,11 @@
     "\n",
     "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\"\n",
     "\n",
-    "tokenizer = AutoTokenizer.from_pretrained(\"Alibaba-NLP/gte-Qwen2-7B-instruct\")\n",
+    "tokenizer = AutoTokenizer.from_pretrained(\"Alibaba-NLP/gte-Qwen2-1.5B-instruct\")\n",
     "input_ids = tokenizer.encode(text)\n",
     "\n",
     "curl_ids = f\"\"\"curl -s http://localhost:{port}/v1/embeddings \\\n",
-    "  -d '{{\"model\": \"Alibaba-NLP/gte-Qwen2-7B-instruct\", \"input\": {json.dumps(input_ids)}}}'\"\"\"\n",
+    "  -d '{{\"model\": \"Alibaba-NLP/gte-Qwen2-1.5B-instruct\", \"input\": {json.dumps(input_ids)}}}'\"\"\"\n",
     "\n",
     "input_ids_embedding = json.loads(subprocess.check_output(curl_ids, shell=True))[\"data\"][\n",
     "    0\n",
diff --git a/docs/backend/openai_api_vision.ipynb b/docs/backend/openai_api_vision.ipynb
index 63a03203b..af52fcfb8 100644
--- a/docs/backend/openai_api_vision.ipynb
+++ b/docs/backend/openai_api_vision.ipynb
@@ -29,7 +29,7 @@
     "\n",
     "Launch the server in your terminal and wait for it to initialize.\n",
     "\n",
-    "**Remember to add** `--chat-template llama_3_vision` **to specify the [vision chat template](https://docs.sglang.ai/backend/openai_api_vision.html#Chat-Template), otherwise, the server will only support text (images won’t be passed in), which can lead to degraded performance.**\n",
+    "**Remember to add** `--chat-template` **for example** `--chat-template=qwen2-vl` **to specify the [vision chat template](https://docs.sglang.ai/backend/openai_api_vision.html#Chat-Template), otherwise, the server will only support text (images won’t be passed in), which can lead to degraded performance.**\n",
     "\n",
     "We need to specify `--chat-template` for vision language models because the chat template provided in Hugging Face tokenizer only supports text."
    ]
@@ -51,8 +51,8 @@
     "\n",
     "vision_process, port = launch_server_cmd(\n",
     "    \"\"\"\n",
-    "python3 -m sglang.launch_server --model-path meta-llama/Llama-3.2-11B-Vision-Instruct \\\n",
-    "    --chat-template=llama_3_vision\n",
+    "python3 -m sglang.launch_server --model-path Qwen/Qwen2.5-VL-7B-Instruct \\\n",
+    "    --chat-template=qwen2-vl\n",
     "\"\"\"\n",
     ")\n",
     "\n",
@@ -79,7 +79,7 @@
     "curl_command = f\"\"\"\n",
     "curl -s http://localhost:{port}/v1/chat/completions \\\\\n",
     "  -d '{{\n",
-    "    \"model\": \"meta-llama/Llama-3.2-11B-Vision-Instruct\",\n",
+    "    \"model\": \"Qwen/Qwen2.5-VL-7B-Instruct\",\n",
     "    \"messages\": [\n",
     "      {{\n",
     "        \"role\": \"user\",\n",
@@ -127,7 +127,7 @@
     "url = f\"http://localhost:{port}/v1/chat/completions\"\n",
     "\n",
     "data = {\n",
-    "    \"model\": \"meta-llama/Llama-3.2-11B-Vision-Instruct\",\n",
+    "    \"model\": \"Qwen/Qwen2.5-VL-7B-Instruct\",\n",
     "    \"messages\": [\n",
     "        {\n",
     "            \"role\": \"user\",\n",
@@ -167,7 +167,7 @@
     "client = OpenAI(base_url=f\"http://localhost:{port}/v1\", api_key=\"None\")\n",
     "\n",
     "response = client.chat.completions.create(\n",
-    "    model=\"meta-llama/Llama-3.2-11B-Vision-Instruct\",\n",
+    "    model=\"Qwen/Qwen2.5-VL-7B-Instruct\",\n",
     "    messages=[\n",
     "        {\n",
     "            \"role\": \"user\",\n",
@@ -211,7 +211,7 @@
     "client = OpenAI(base_url=f\"http://localhost:{port}/v1\", api_key=\"None\")\n",
     "\n",
     "response = client.chat.completions.create(\n",
-    "    model=\"meta-llama/Llama-3.2-11B-Vision-Instruct\",\n",
+    "    model=\"Qwen/Qwen2.5-VL-7B-Instruct\",\n",
     "    messages=[\n",
     "        {\n",
     "            \"role\": \"user\",\n",
diff --git a/docs/backend/send_request.ipynb b/docs/backend/send_request.ipynb
index 7e23702b7..455c6431b 100644
--- a/docs/backend/send_request.ipynb
+++ b/docs/backend/send_request.ipynb
@@ -35,11 +35,11 @@
     "\n",
     "# This is equivalent to running the following command in your terminal\n",
     "\n",
-    "# python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3.1-8B-Instruct --host 0.0.0.0\n",
+    "# python3 -m sglang.launch_server --model-path qwen/qwen2.5-0.5b-instruct --host 0.0.0.0\n",
     "\n",
     "server_process, port = launch_server_cmd(\n",
     "    \"\"\"\n",
-    "python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3.1-8B-Instruct \\\n",
+    "python3 -m sglang.launch_server --model-path qwen/qwen2.5-0.5b-instruct \\\n",
     " --host 0.0.0.0\n",
     "\"\"\"\n",
     ")\n",
@@ -65,7 +65,7 @@
     "curl_command = f\"\"\"\n",
     "curl -s http://localhost:{port}/v1/chat/completions \\\n",
     "  -H \"Content-Type: application/json\" \\\n",
-    "  -d '{{\"model\": \"meta-llama/Meta-Llama-3.1-8B-Instruct\", \"messages\": [{{\"role\": \"user\", \"content\": \"What is the capital of France?\"}}]}}'\n",
+    "  -d '{{\"model\": \"qwen/qwen2.5-0.5b-instruct\", \"messages\": [{{\"role\": \"user\", \"content\": \"What is the capital of France?\"}}]}}'\n",
     "\"\"\"\n",
     "\n",
     "response = json.loads(subprocess.check_output(curl_command, shell=True))\n",
@@ -90,7 +90,7 @@
     "url = f\"http://localhost:{port}/v1/chat/completions\"\n",
     "\n",
     "data = {\n",
-    "    \"model\": \"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
+    "    \"model\": \"qwen/qwen2.5-0.5b-instruct\",\n",
     "    \"messages\": [{\"role\": \"user\", \"content\": \"What is the capital of France?\"}],\n",
     "}\n",
     "\n",
@@ -116,7 +116,7 @@
     "client = openai.Client(base_url=f\"http://127.0.0.1:{port}/v1\", api_key=\"None\")\n",
     "\n",
     "response = client.chat.completions.create(\n",
-    "    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
+    "    model=\"qwen/qwen2.5-0.5b-instruct\",\n",
     "    messages=[\n",
     "        {\"role\": \"user\", \"content\": \"List 3 countries and their capitals.\"},\n",
     "    ],\n",
@@ -145,7 +145,7 @@
     "\n",
     "# Use stream=True for streaming responses\n",
     "response = client.chat.completions.create(\n",
-    "    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
+    "    model=\"qwen/qwen2.5-0.5b-instruct\",\n",
     "    messages=[\n",
     "        {\"role\": \"user\", \"content\": \"List 3 countries and their capitals.\"},\n",
     "    ],\n",