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README.md

@@ -124,29 +124,30 @@ python examples/llava_example.py
 启动服务：
 
 ```bash
-python -m vllm.entrypoints.openai.api_server --model /llava/llava-1.5-7b-hf --image-input-type pixel_values --image-token-id 32000 --image-input-shape 1,3,336,336 --image-feature-size 576 --chat-template template_llava.jinja
+python -m vllm.entrypoints.openai.api_server --model llava/llava-1.5-7b-hf --image-input-type pixel_values --image-token-id 32000 --image-input-shape 1,3,336,336 --image-feature-size 576 --chat-template template_llava.jinja
 
 ```
 
 这里 `--model`为加载模型路径，`--image-input-type pixel_values`为图片输入的类型：pixel_values，`--image-token-id`用于指定图片输入的特殊标记 ID，`--image-input-shape`设置图片输入的形状,`--image-feature-size`指定图像特征的大小，`--chat-template`可以添加新模板覆盖默认模板。
 
-列出模型型号：
-
-```bash
-curl http://localhost:8000/v1/models
-```
-
 ### OpenAI Completions API和vllm结合使用
 
 ```bash
-curl http://localhost:8000/v1/completions \
+
+curl http://localhost:8000/v1/chat/completions \
   -H "Content-Type: application/json" \
+  -H "Authorization: Bearer EMPTY" \
   -d '{
-        "model": "Qwen/Qwen1.5-7B",
-        "prompt": "What is deep learning?",
-        "max_tokens": 7,
-        "temperature": 0
+    "model": "llava/llava-1.5-7b-hf",
+    "messages": [
+      {
+        "role": "user",
+        "content": "What is the content of this image? [local file](images/cherry_blossom.jpg)"
+      }
+    ],
+    "max_tokens": 300
   }'
+
 ```
 
 或者使用[examples/openai_completion_client.py](examples/openai_completion_client.py)