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

Author: youkaichao

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

@@ -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](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.
+In addition, full support for [vLLM v1](https://blog.vllm.ai/2025/01/27/v1-alpha-release.html) 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