update readme

README.md

@@ -41,7 +41,7 @@ bash install.sh -DUSE_CUDA=ON # 编译GPU版本
 
 ### 运行demo程序 (python)
 
-假设我们的模型位于"/mnt/hfmodels/Qwen/Qwen2-7B-Instruct/"目录
+假设我们的模型位于"~/Qwen2-7B-Instruct/"目录
 
 编译完成后可以使用下列demo:
 
@@ -70,10 +70,10 @@ python3 -m ftllm.server -t 16 -p ~/Qwen2-7B-Instruct/ --port 8080 --model_name q
 # 进入fastllm/build-fastllm目录
 
 # 命令行聊天程序, 支持打字机效果 (只支持Linux）
-./main -p model.flm 
+./main -p ~/Qwen2-7B-Instruct/ 
 
 # 简易webui, 使用流式输出 + 动态batch，可多路并发访问
-./webui -p model.flm --port 1234 
+./webui -p ~/Qwen2-7B-Instruct/ --port 1234 
 ```
 
 Windows下的编译推荐使用Cmake GUI + Visual Studio，在图形化界面中完成。
@@ -85,7 +85,7 @@ Windows下的编译推荐使用Cmake GUI + Visual Studio，在图形化界面中
 ``` python
 # 模型创建
 from ftllm import llm
-model = llm.model("model.flm")
+model = llm.model("~/Qwen2-7B-Instruct/")
 
 # 生成回复
 print(model.response("你好"))

README_EN.md

@@ -39,7 +39,7 @@ For compilation on other platforms, refer to the documentation:
 
 ### Running the demo program (python)
 
-Assuming our model is located in the "/mnt/hfmodels/Qwen/Qwen2-7B-Instruct/" directory:
+Assuming our model is located in the "~/Qwen2-7B-Instruct/" directory:
 
 After compilation, you can use the following demos:
 
@@ -68,10 +68,10 @@ For architectures that cannot directly read Hugging Face models, refer to [Model
 # Enter the fastllm/build-fastllm directory
 
 # Command line chat program, supports typewriter effect (Linux only)
-./main -p model.flm 
+./main -p ~/Qwen2-7B-Instruct/
 
 # Simple webui, uses streaming output + dynamic batch, supports concurrent access
-./webui -p model.flm --port 1234 
+./webui -p ~/Qwen2-7B-Instruct/ --port 1234 
 ```
 
 Compilation on Windows is recommended using Cmake GUI + Visual Studio, completed in the graphical interface.
@@ -83,7 +83,7 @@ For compilation issues, especially on Windows, refer to [FAQ](docs/faq.md).
 ``` python
 # Model creation
 from ftllm import llm
-model = llm.model("model.flm")
+model = llm.model("~/Qwen2-7B-Instruct/")
 
 # Generate response
 print(model.response("你好"))