Update Readme.md

README.md

@@ -155,6 +155,47 @@ If you are in mainland China, we strongly recommend accessing our models via
 
 ---
 
+## Deployment
+
+### SGLang
+
+You can serve LLaDA2.2-mini through an OpenAI-compatible API using SGLang.
+
+Install SGLang from the latest `main` branch:
+
+```bash
+git clone https://github.com/sgl-project/sglang.git
+cd sglang
+pip install -e "python"
+```
+
+For environment requirements, see the
+[SGLang installation guide](https://docs.sglang.io/docs/get-started/install).
+
+Launch the server with the following command. This example uses eight NVIDIA GPUs:
+
+```bash
+python3 -m sglang.launch_server \
+  --model-path inclusionAI/LLaDA2.2-mini \
+  --trust-remote-code \
+  --dllm-algorithm JointThresholdInDel \
+  --moe-runner-backend triton \
+  --tp-size 8 \
+  --context-length 131072 \
+  --max-running-requests 8 \
+  --host 0.0.0.0 \
+  --port 30000
+```
+
+Adjust `--tp-size` and `--max-running-requests` according to your hardware
+and available GPU memory.
+
+`JointThresholdInDel` currently uses greedy decoding, with default settings
+of `block_size=32`, `threshold=0.5`, `edit_threshold=0.0`, and
+`max_post_edit_steps=16`.
+
+---
+
 ## 🌐 License
 
 This project is licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).