Update README.md

README.md

@@ -43,9 +43,11 @@ To run Qwen2, you can use `llama-cli` (the previous `main`) or `llama-server` (t
 We recommend using the `llama-server` as it is simple and compatible with OpenAI API. For example:
 
 ```bash
-./llama-server -m qwen2-0.5b-instruct-q5_k_m.gguf
+./llama-server -m qwen2-0.5b-instruct-q5_k_m.gguf -ngl 24 -fa
 ```
 
+(Note: `-ngl 24` refers to offloading 24 layers to GPUs, and `-fa` refers to the use of flash attention.)
+
 Then it is easy to access the deployed service with OpenAI API:
 
 ```python
@@ -69,7 +71,11 @@ print(completion.choices[0].message.content)
 If you choose to use `llama-cli`, pay attention to the removal of `-cml` for the ChatML template. Instead you should use `--in-prefix` and `--in-suffix` to tackle this problem.
 
 ```bash
-./llama-cli -m qwen2-0.5b-instruct-q5_k_m.gguf -n 512 -co -i -if -f prompts/chat-with-qwen.txt --in-prefix "<|im_start|>user\n" --in-suffix "<|im_end|>\n<|im_start|>assistant\n"
+./llama-cli -m qwen2-0.5b-instruct-q5_k_m.gguf \
+  -n 512 -co -i -if -f prompts/chat-with-qwen.txt \
+  --in-prefix "<|im_start|>user\n" \
+  --in-suffix "<|im_end|>\n<|im_start|>assistant\n" \
+  -ngl 24 -fa
 ```
 
 ## Citation