Update README.md

README.md

@@ -34,14 +34,14 @@ In the following demonstration, we assume that you are running commands under th
 ## How to use
 Cloning the repo may be inefficient, and thus you can manually download the GGUF file that you need or use `huggingface-cli` (`pip install huggingface_hub`) as shown below:
 ```shell
-huggingface-cli download Qwen/Qwen2-1.5B-Instruct-GGUF qwen2-1.5b-instruct-q5_k_m.gguf --local-dir . --local-dir-use-symlinks False
+huggingface-cli download Qwen/Qwen2-1.5B-Instruct-GGUF qwen2-1_5b-instruct-q5_k_m.gguf --local-dir . --local-dir-use-symlinks False
 ```
 
 To run Qwen2, you can use `llama-cli` (the previous `main`) or `llama-server` (the previous `server`). 
 We recommend using the `llama-server` as it is simple and compatible with OpenAI API. For example:
 
 ```bash
-./llama-server -m qwen2-1.5b-instruct-q5_k_m.gguf -ngl 28 -fa
+./llama-server -m qwen2-1_5b-instruct-q5_k_m.gguf -ngl 28 -fa
 ```
 
 (Note: `-ngl 28` refers to offloading 28 layers to GPUs, and `-fa` refers to the use of flash attention.)
@@ -69,7 +69,7 @@ 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 qwen2-1.5b-instruct-q5_k_m.gguf \
+./llama-cli -m qwen2-1_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" \