upd

README.md

@@ -254,13 +254,13 @@ For deployment, you can use vllm to create an OpenAI-compatible API endpoint.
 
    - **Docker**
      ```bash
-         docker run --gpus all \
-         --shm-size 32g \
-         -p 30000:30000 \
-         -v ~/.cache/huggingface:/root/.cache/huggingface \
-         --ipc=host \
-         lmsysorg/sglang:latest \
-         python3 -m sglang.launch_server --model-path stepfun-ai/Step3-VL-10B --host 0.0.0.0 --port 30000
+      docker run --gpus all \
+      --shm-size 32g \
+      -p 30000:30000 \
+      -v ~/.cache/huggingface:/root/.cache/huggingface \
+      --ipc=host \
+      lmsysorg/sglang:latest \
+      python3 -m sglang.launch_server --model-path stepfun-ai/Step3-VL-10B --host 0.0.0.0 --port 30000
      ```
 2. Launch the server: