update

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

Author: qscqesze

_posts/2025-06-26-minimax-m1.md

@@ -45,7 +45,7 @@ huggingface-cli download MiniMaxAI/MiniMax-M1-40k
 
 ### Deployment
 
-Below is a quick guide to deploying MiniMax-M1 with vLLM and Docker. Each step is annotated for clarity:
+Below is a quick guide to deploying MiniMax-M1 with vLLM and Docker: 
 
 ```bash
 # Set environment variables
@@ -131,7 +131,7 @@ As a cutting-edge attention mechanism, Lightning Attention is implemented in vLL
 
 Looking ahead, further optimizations for hybrid architecture support are actively being explored within the vLLM community. Notably, the development of a hybrid allocator is expected to enable even more efficient memory management tailored to the unique requirements of models like MiniMax-M1.
 
-In addition, full support for vLLM v1 is planned, with the hybrid model architecture expected to be migrated into the v1 framework. These advancements are anticipated to unlock further performance improvements and provide a more robust foundation for future developments.
+In addition, full support for [vLLM v1](https://minimax-m1.vllm-blog-source.pages.dev/2025/01/27/v1-alpha-release) is planned, with the hybrid model architecture expected to be migrated into the v1 framework. These advancements are anticipated to unlock further performance improvements and provide a more robust foundation for future developments.
 
 ## Conclusion