Update README.md

README.md

@@ -6,10 +6,14 @@ I used AutoAWQ to quantize Kimi K2.
 Run with this command:
 
 ```
-$ docker run -it --rm   --gpus all \
---network=host \
---shm-size=1024g   \
---entrypoint /bin/sh -v /home/hotaisle/workspace/models:/models -v $HOME/.cache/huggingface:/root/.cache/huggingface   vllm/vllm-openai:latest   -c "pip install blobfile && python3 -m vllm.entrypoints.openai.api_server --model QuixiAI/Kimi-K2-Base-AWQ --port 8000 --tensor-parallel-size 8 --trust-remote-code --gpu-memory-utilization 0.95 --enable-prefix-caching --enable-chunked-prefill --dtype bfloat16"
-```
+$ docker run -it --rm \
+  --gpus all \
+  --network=host \
+  --shm-size=1024g \
+  --entrypoint /bin/sh \
+  -v /home/hotaisle/workspace/models:/models \
+  -v $HOME/.cache/huggingface:/root/.cache/huggingface \
+  vllm/vllm-openai:latest \
+  -c "pip install blobfile && python3 -m vllm.entrypoints.openai.api_server --model QuixiAI/Kimi-K2-Base-AWQ --port 8000 --tensor-parallel-size 8 --trust-remote-code --gpu-memory-utilization 0.95 --enable-prefix-caching --enable-chunked-prefill --dtype bfloat16"```
 
 It seems due to a bug in vLLM, it cannot run.