diff --git a/docs/backend/backend.md b/docs/backend/backend.md
index 546695178..5913568f8 100644
--- a/docs/backend/backend.md
+++ b/docs/backend/backend.md
@@ -127,7 +127,7 @@ You can view the full example [here](https://github.com/sgl-project/sglang/tree/
 ## Supported Models
 
 **Generative Models**
-- Llama / Llama 2 / Llama 3 / Llama 3.1
+- Llama / Llama 2 / Llama 3 / Llama 3.1 / Llama 3.2
 - Mistral / Mixtral / Mistral NeMo
 - Gemma / Gemma 2
 - Qwen / Qwen 2 / Qwen 2 MoE / Qwen 2 VL
diff --git a/docs/backend/native_api.ipynb b/docs/backend/native_api.ipynb
index 798ba248a..bbf9be9e9 100644
--- a/docs/backend/native_api.ipynb
+++ b/docs/backend/native_api.ipynb
@@ -5,7 +5,6 @@
    "metadata": {},
    "source": [
     "# Native APIs\n",
-    "\n",
     "Apart from the OpenAI compatible APIs, the SGLang Runtime also provides its native server APIs. We introduce these following APIs:\n",
     "\n",
     "- `/generate`\n",
@@ -40,7 +39,6 @@
     "    terminate_process,\n",
     "    print_highlight,\n",
     ")\n",
-    "import subprocess, json\n",
     "\n",
     "server_process = execute_shell_command(\n",
     "\"\"\"\n",
@@ -56,8 +54,7 @@
    "metadata": {},
    "source": [
     "## Generate\n",
-    "\n",
-    "Used to generate completion from the model, similar to the `/v1/completions` API in OpenAI. Detailed parameters can be found in the [sampling parameters](https://sgl-project.github.io/references/sampling_params.html)."
+    "Generate completions. This is similar to the `/v1/completions` in OpenAI API. Detailed parameters can be found in the [sampling parameters](https://sgl-project.github.io/references/sampling_params.html)."
    ]
   },
   {
@@ -72,7 +69,7 @@
     "data = {\"text\": \"What is the capital of France?\"}\n",
     "\n",
     "response = requests.post(url, json=data)\n",
-    "print_highlight(response.text)"
+    "print_highlight(response.json())"
    ]
   },
   {
@@ -80,8 +77,7 @@
    "metadata": {},
    "source": [
     "## Get Server Args\n",
-    "\n",
-    "Used to get the serving args when the server is launched."
+    "Get the arguments of a server."
    ]
   },
   {
@@ -102,7 +98,7 @@
    "source": [
     "## Get Model Info\n",
     "\n",
-    "Used to get the model info.\n",
+    "Get the information of the model.\n",
     "\n",
     "- `model_path`: The path/name of the model.\n",
     "- `is_generation`: Whether the model is used as generation model or embedding model."
@@ -120,7 +116,7 @@
     "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[\"is_generation\"] == True\n",
+    "assert response_json[\"is_generation\"] is True\n",
     "assert response_json.keys() == {\"model_path\", \"is_generation\"}"
    ]
   },
@@ -128,8 +124,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Health and Health Generate\n",
-    "\n",
+    "## Health Check\n",
     "- `/health`: Check the health of the server.\n",
     "- `/health_generate`: Check the health of the server by generating one token."
    ]
@@ -164,7 +159,7 @@
    "source": [
     "## Flush Cache\n",
     "\n",
-    "Used to flush the radix cache. It will be automatically triggered when the model weights are updated by the `/update_weights` API."
+    "Flush the radix cache. It will be automatically triggered when the model weights are updated by the `/update_weights` API."
    ]
   },
   {
@@ -259,7 +254,7 @@
    "source": [
     "## Encode\n",
     "\n",
-    "Used to encode text into embeddings. Note that this API is only available for [embedding models](./openai_embedding_api.ipynb) and will raise an error for generation models.\n",
+    "Encode text into embeddings. Note that this API is only available for [embedding models](./openai_embedding_api.ipynb) and will raise an error for generation models.\n",
     "Therefore, we launch a new server to server an embedding model.\n"
    ]
   },
diff --git a/docs/backend/openai_api_embeddings.ipynb b/docs/backend/openai_api_embeddings.ipynb
index 8769d1710..0a40b0a0d 100644
--- a/docs/backend/openai_api_embeddings.ipynb
+++ b/docs/backend/openai_api_embeddings.ipynb
@@ -24,7 +24,7 @@
     "\n",
     "```bash\n",
     "python -m sglang.launch_server --model-path Alibaba-NLP/gte-Qwen2-7B-instruct \\\n",
-    "    --port 30010 --host 0.0.0.0 --is-embedding\n",
+    "    --port 30000 --host 0.0.0.0 --is-embedding\n",
     "```\n",
     "\n",
     "Remember to add `--is-embedding` to the command."
@@ -53,11 +53,11 @@
     "embedding_process = execute_shell_command(\n",
     "    \"\"\"\n",
     "python -m sglang.launch_server --model-path Alibaba-NLP/gte-Qwen2-7B-instruct \\\n",
-    "    --port 30010 --host 0.0.0.0 --is-embedding\n",
+    "    --port 30000 --host 0.0.0.0 --is-embedding\n",
     "\"\"\"\n",
     ")\n",
     "\n",
-    "wait_for_server(\"http://localhost:30010\")"
+    "wait_for_server(\"http://localhost:30000\")"
    ]
   },
   {
@@ -84,7 +84,7 @@
     "\n",
     "text = \"Once upon a time\"\n",
     "\n",
-    "curl_text = f\"\"\"curl -s http://localhost:30010/v1/embeddings \\\n",
+    "curl_text = f\"\"\"curl -s http://localhost:30000/v1/embeddings \\\n",
     "  -d '{{\"model\": \"Alibaba-NLP/gte-Qwen2-7B-instruct\", \"input\": \"{text}\"}}'\"\"\"\n",
     "\n",
     "text_embedding = json.loads(subprocess.check_output(curl_text, shell=True))[\"data\"][0][\n",
@@ -112,7 +112,7 @@
     "text = \"Once upon a time\"\n",
     "\n",
     "response = requests.post(\n",
-    "    \"http://localhost:30010/v1/embeddings\",\n",
+    "    \"http://localhost:30000/v1/embeddings\",\n",
     "    json={\n",
     "        \"model\": \"Alibaba-NLP/gte-Qwen2-7B-instruct\",\n",
     "        \"input\": text\n",
@@ -146,7 +146,7 @@
    "source": [
     "import openai\n",
     "\n",
-    "client = openai.Client(base_url=\"http://127.0.0.1:30010/v1\", api_key=\"None\")\n",
+    "client = openai.Client(base_url=\"http://127.0.0.1:30000/v1\", api_key=\"None\")\n",
     "\n",
     "# Text embedding example\n",
     "response = client.embeddings.create(\n",
@@ -189,7 +189,7 @@
     "tokenizer = AutoTokenizer.from_pretrained(\"Alibaba-NLP/gte-Qwen2-7B-instruct\")\n",
     "input_ids = tokenizer.encode(text)\n",
     "\n",
-    "curl_ids = f\"\"\"curl -s http://localhost:30010/v1/embeddings \\\n",
+    "curl_ids = f\"\"\"curl -s http://localhost:30000/v1/embeddings \\\n",
     "  -d '{{\"model\": \"Alibaba-NLP/gte-Qwen2-7B-instruct\", \"input\": {json.dumps(input_ids)}}}'\"\"\"\n",
     "\n",
     "input_ids_embedding = json.loads(subprocess.check_output(curl_ids, shell=True))[\"data\"][\n",
diff --git a/docs/backend/openai_api_vision.ipynb b/docs/backend/openai_api_vision.ipynb
index 4a903c401..ecddf6c30 100644
--- a/docs/backend/openai_api_vision.ipynb
+++ b/docs/backend/openai_api_vision.ipynb
@@ -26,7 +26,7 @@
     "\n",
     "```bash\n",
     "python3 -m sglang.launch_server --model-path meta-llama/Llama-3.2-11B-Vision-Instruct \\\n",
-    "  --port 30010 --chat-template llama_3_vision\n",
+    "  --port 30000 --chat-template llama_3_vision\n",
     "```\n",
     "in your terminal and wait for the server to be ready.\n",
     "\n",
@@ -50,11 +50,11 @@
     "embedding_process = execute_shell_command(\n",
     "    \"\"\"\n",
     "python3 -m sglang.launch_server --model-path meta-llama/Llama-3.2-11B-Vision-Instruct \\\n",
-    "    --port=30010 --chat-template=llama_3_vision\n",
+    "    --port=30000 --chat-template=llama_3_vision\n",
     "\"\"\"\n",
     ")\n",
     "\n",
-    "wait_for_server(\"http://localhost:30010\")"
+    "wait_for_server(\"http://localhost:30000\")"
    ]
   },
   {
@@ -75,7 +75,7 @@
     "import subprocess\n",
     "\n",
     "curl_command = \"\"\"\n",
-    "curl -s http://localhost:30010/v1/chat/completions \\\n",
+    "curl -s http://localhost:30000/v1/chat/completions \\\n",
     "  -d '{\n",
     "    \"model\": \"meta-llama/Llama-3.2-11B-Vision-Instruct\",\n",
     "    \"messages\": [\n",
@@ -118,7 +118,7 @@
    "source": [
     "import requests\n",
     "\n",
-    "url = \"http://localhost:30010/v1/chat/completions\"\n",
+    "url = \"http://localhost:30000/v1/chat/completions\"\n",
     "\n",
     "data = {\n",
     "    \"model\": \"meta-llama/Llama-3.2-11B-Vision-Instruct\",\n",
@@ -161,7 +161,7 @@
    "source": [
     "from openai import OpenAI\n",
     "\n",
-    "client = OpenAI(base_url=\"http://localhost:30010/v1\", api_key=\"None\")\n",
+    "client = OpenAI(base_url=\"http://localhost:30000/v1\", api_key=\"None\")\n",
     "\n",
     "response = client.chat.completions.create(\n",
     "    model=\"meta-llama/Llama-3.2-11B-Vision-Instruct\",\n",
@@ -205,7 +205,7 @@
    "source": [
     "from openai import OpenAI\n",
     "\n",
-    "client = OpenAI(base_url=\"http://localhost:30010/v1\", api_key=\"None\")\n",
+    "client = OpenAI(base_url=\"http://localhost:30000/v1\", api_key=\"None\")\n",
     "\n",
     "response = client.chat.completions.create(\n",
     "    model=\"meta-llama/Llama-3.2-11B-Vision-Instruct\",\n",
diff --git a/docs/references/hyperparameter_tuning.md b/docs/references/hyperparameter_tuning.md
index 96eb5b4f8..32759cadc 100644
--- a/docs/references/hyperparameter_tuning.md
+++ b/docs/references/hyperparameter_tuning.md
@@ -25,7 +25,7 @@ If you see `decode out of memory happened` occasionally but not frequently, it i
 Data parallelism is better for throughput. When there is enough GPU memory, always favor data parallelism for throughput.
 
 ### Avoid out-of-memory by Tuning `--chunked-prefill-size`, `--mem-fraction-static`, `--max-running-requests`
-If you see out of memory (OOM) errors, you can decrease these parameters.  
+If you see out of memory (OOM) errors, you can try to tune the following parameters.  
 If OOM happens during prefill, try to decrease `--chunked-prefill-size` to `4096` or `2048`.  
 If OOM happens during decoding, try to decrease `--max-running-requests`.  
 You can also try to decrease `--mem-fraction-static`, which reduces the memory usage of the KV cache memory pool and helps both prefill and decoding.
diff --git a/docs/references/troubleshooting.md b/docs/references/troubleshooting.md
index 02793c959..19eaa2879 100644
--- a/docs/references/troubleshooting.md
+++ b/docs/references/troubleshooting.md
@@ -2,12 +2,13 @@
 
 This page lists some common errors and tips for fixing them.
 
+## CUDA out of memory
+If you see out of memory (OOM) errors, you can try to tune the following parameters.  
+If OOM happens during prefill, try to decrease `--chunked-prefill-size` to `4096` or `2048`.  
+If OOM happens during decoding, try to decrease `--max-running-requests`.  
+You can also try to decrease `--mem-fraction-static`, which reduces the memory usage of the KV cache memory pool and helps both prefill and decoding.
+
 ## CUDA error: an illegal memory access was encountered
 This error may be due to kernel errors or out-of-memory issues.
-- If it is a kernel error, it is not easy to fix.
-- If it is out-of-memory, sometimes it will report this error instead of "Out-of-memory." In this case, try setting a smaller value for `--mem-fraction-static`. The default value of `--mem-fraction-static` is around 0.8 - 0.9.
-
-## The server hangs
-If the server hangs, try disabling some optimizations when launching the server.
-- Add `--disable-cuda-graph`.
-- Add `--sampling-backend pytorch`.
+- If it is a kernel error, it is not easy to fix. Please file an issue on the GitHub.
+- If it is out-of-memory, sometimes it will report this error instead of "Out-of-memory." Please refer to the above seciton to avoid the OOM.
diff --git a/docs/start/send_request.ipynb b/docs/start/send_request.ipynb
index df2187ca0..0b5c05972 100644
--- a/docs/start/send_request.ipynb
+++ b/docs/start/send_request.ipynb
@@ -70,7 +70,7 @@
     "\n",
     "curl_command = \"\"\"\n",
     "curl -s http://localhost:30000/v1/chat/completions \\\n",
-    "  -d '{\"model\": \"meta-llama/Meta-Llama-3.1-8B-Instruct\", \"messages\": [{\"role\": \"system\", \"content\": \"You are a helpful assistant.\"}, {\"role\": \"user\", \"content\": \"What is a LLM?\"}]}'\n",
+    "  -d '{\"model\": \"meta-llama/Meta-Llama-3.1-8B-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",
@@ -104,8 +104,7 @@
     "data = {\n",
     "    \"model\": \"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
     "    \"messages\": [\n",
-    "        {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n",
-    "        {\"role\": \"user\", \"content\": \"What is a LLM?\"}\n",
+    "        {\"role\": \"user\", \"content\": \"What is the capital of France?\"}\n",
     "    ]\n",
     "}\n",
     "\n",
@@ -140,7 +139,6 @@
     "response = client.chat.completions.create(\n",
     "    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
     "    messages=[\n",
-    "        {\"role\": \"system\", \"content\": \"You are a helpful AI assistant\"},\n",
     "        {\"role\": \"user\", \"content\": \"List 3 countries and their capitals.\"},\n",
     "    ],\n",
     "    temperature=0,\n",
@@ -170,7 +168,6 @@
     "response = client.chat.completions.create(\n",
     "    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct\",\n",
     "    messages=[\n",
-    "        {\"role\": \"system\", \"content\": \"You are a helpful AI assistant\"},\n",
     "        {\"role\": \"user\", \"content\": \"List 3 countries and their capitals.\"},\n",
     "    ],\n",
     "    temperature=0,\n",