Update README.md

README.md

@@ -5,22 +5,27 @@
   ```
   hf download xai-org/grok-2 --local-dir /local/grok-2
   ```
+
   You might encounter some errors during the download. Please retry until the download is successful.  
   If the download succeeds, the folder should contain **42 files** and be approximately 500 GB.
 
 - Launch a server.
 
-  Install the latest SGLang inference engine by following the instructions at https://docs.sglang.ai/get_started/install.html.
+  Install the latest SGLang inference engine (>= v0.5.1) from https://github.com/sgl-project/sglang/
 
-  Then, you can launch an inference server. This checkpoint is TP=8, so you will need 8 GPUs (each with > 40GB of memory).
+  Use the command below to launch an inference server. This checkpoint is TP=8, so you will need 8 GPUs (each with > 40GB of memory).
   ```
   python3 -m sglang.launch_server --model /local/grok-2 --tokenizer-path /local/grok-2/tokenizer.tok.json --tp 8 --quantization fp8 --attention-backend triton
   ```
 
 - Send a request.
 
+  This is a post-trained model, so please use the correct [chat template](https://github.com/sgl-project/sglang/blob/97a38ee85ba62e268bde6388f1bf8edfe2ca9d76/python/sglang/srt/tokenizer/tiktoken_tokenizer.py#L106).
+
   ```
   python3 -m sglang.test.send_one --prompt "Human: What is your name? <|separator|>\n\nAssistant:"
   ```
 
-  Learn more about other ways of sending requests [here](https://docs.sglang.ai/basic_usage/send_request.html).
+  You should be able to see the model output its name, Grok.
+
+  Learn more about other ways to send requests [here](https://docs.sglang.ai/basic_usage/send_request.html).