changed #

Signed-off-by: zRzRzRzRzRzRzR <[email protected]>

Author: zRzRzRzRzRzRzR

_posts/2025-08-15-glm45-vllm.md

@@ -5,7 +5,9 @@ author: "Yuxuan Zhang"
 image: /assets/logos/vllm-logo-text-light.png
 ---
 
-# Model Introduction
+# Use vLLM to deploy GLM-4.5 and GLM-4.5V model
+
+## Model Introduction
 
 The GLM-4.5 series models are foundation models designed for intelligent agents. GLM-4.5 has 355 billion total
 parameters with 32 billion active parameters, while GLM-4.5-Air adopts a more compact design with 106 billion total
@@ -69,7 +71,7 @@ vllm serve zai-org/GLM-4.5V \
      --media-io-kwargs '{"video": {"num_frames": -1}}'
 ```
 
-## Important Notes
+### Important Notes
 
 + The reasoning part of the model output will be wrapped in `reasoning_content`. `content` will only contain the final
   answer. To disable reasoning, add the following parameter:
@@ -86,7 +88,7 @@ vllm serve zai-org/GLM-4.5V \
 GLM-4.5V equips precise grounding capabilities. Given a prompt that requests the location of a specific object, GLM-4.5V
 is able to reasoning step-by-step and identify the bounding boxes of the target object. The query prompt supports
 complex descriptions of the target object as well as specified output formats, for example:
->
+
 > - Help me to locate <expr> in the image and give me its bounding boxes.
 > - Please pinpoint the bounding box [[x1,y1,x2,y2], …] in the image as per the given description. <expr>