update README

README.md

@@ -168,7 +168,7 @@ Download the model from HuggingFace repository: https://huggingface.co/MiniMaxAI
 
 ### vLLM
 
-We recommend using [vLLM](https://docs.vllm.ai/en/latest/) to serve MiniMax-M2. vLLM provides efficient day-0 support of MiniMax-M2 model, check https://docs.vllm.ai/projects/recipes/en/latest/MiniMax/MiniMax-M2.html for latest deployment guide. We also provide our [vLLM Deployment Guide](https://huggingface.co/MiniMaxAI/MiniMax-M2/blob/main/docs/vllm_deploy_guide.md).
+We recommend using [vLLM](https://docs.vllm.ai/en/stable/) to serve MiniMax-M2. vLLM provides efficient day-0 support of MiniMax-M2 model, check https://docs.vllm.ai/projects/recipes/en/latest/MiniMax/MiniMax-M2.html for latest deployment guide. We also provide our [vLLM Deployment Guide](https://huggingface.co/MiniMaxAI/MiniMax-M2/blob/main/docs/vllm_deploy_guide.md).
 
 ### SGLang
 We recommend using [SGLang](https://docs.sglang.ai/) to serve MiniMax-M2. SGLang provides solid day-0 support for MiniMax-M2 model. Please refer to our [SGLang Deployment Guide](https://huggingface.co/MiniMaxAI/MiniMax-M2/blob/main/docs/sglang_deploy_guide.md) for more details, and thanks so much for our collaboration with the SGLang team.

docs/vllm_deploy_guide.md

@@ -35,9 +35,7 @@ It is recommended to use a virtual environment (such as **venv**, **conda**, or
 We recommend installing vLLM in a fresh Python environment:
 
 ```bash
-uv venv
-source .venv/bin/activate
-uv pip install vllm --extra-index-url https://wheels.vllm.ai/nightly
+uv pip install 'triton-kernels @ git+https://github.com/triton-lang/triton.git@v3.5.0#subdirectory=python/triton_kernels'  vllm --extra-index-url https://wheels.vllm.ai/nightly --prerelease=allow
 ```
 
 Run the following command to start the vLLM server. vLLM will automatically download and cache the MiniMax-M2 model from Hugging Face.

docs/vllm_deploy_guide_cn.md

@@ -34,9 +34,7 @@
 
 建议在全新的 Python 环境中安装 vLLM：
 ```bash
-uv venv
-source .venv/bin/activate
-uv pip install vllm --extra-index-url https://wheels.vllm.ai/nightly
+uv pip install 'triton-kernels @ git+https://github.com/triton-lang/triton.git@v3.5.0#subdirectory=python/triton_kernels'  vllm --extra-index-url https://wheels.vllm.ai/nightly --prerelease=allow
 ```
 
 运行如下命令启动 vLLM 服务器，vLLM 会自动从 Huggingface 下载并缓存 MiniMax-M2 模型。