fix link error

README.md

@@ -110,7 +110,7 @@
   - v2基模型：原版[Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
 - **GGUF模型**：[llama.cpp](https://github.com/ggerganov/llama.cpp)推出的量化格式，适配ollama等常见推理工具，推荐只需要做推理部署的用户下载；模型名后缀为`-im`表示使用了importance matrix进行量化，通常具有更低的PPL，建议使用（用法与常规版相同）
 > [!NOTE]
-> 若无法访问HF，可考虑一些镜像站点（如[hf-mirror.com](hf-mirror.com)），具体方法请自行查找解决。
+> 若无法访问HF，可考虑一些镜像站点（如[hf-mirror.com](https://hf-mirror.com)），具体方法请自行查找解决。
 
 ## 推理与部署
 

README_EN.md

@@ -111,7 +111,7 @@ Model Type Description:
   - v2 base model:  [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) 
 - **GGUF Model**: Quantization format released by [llama.cpp](https://github.com/ggerganov/llama.cpp), compatible with common large model inference tools like ollama, recommended for users who only need to perform inference deployment. The model name with `-im` suffix is generated with important matrix, which has generally better performance.
 > [!NOTE]
-> If HF access is blocked, consider using mirror sites (like [hf-mirror.com](hf-mirror.com)), please find the specific methods and solutions on your own.
+> If HF access is blocked, consider using mirror sites (like [hf-mirror.com](https://hf-mirror.com)), please find the specific methods and solutions on your own.
 
 ## Inference and Deployment