diff --git a/README.md b/README.md
index 9c5047d..2ac1580 100644
--- a/README.md
+++ b/README.md
@@ -13,7 +13,7 @@
 
 ## 🎯 Overview
 
-KTransformers is a research project focused on efficient inference and fine-tuning of large language models through CPU-GPU heterogeneous computing. The project has evolved into **two core modules**: [kt-kernel](./kt-kernel/) and [kt-sft](./kt-sft/).
+KTransformers is a research project focused on efficient inference and fine-tuning of large language models through CPU-GPU heterogeneous computing. The project has evolved into **two core modules**: [kt-kernel](https://github.com/kvcache-ai/ktransformers/tree/main/kt-kernel/) and [kt-sft](https://github.com/kvcache-ai/ktransformers/tree/main/kt-sft).
 
 ## 🔥 Updates
 
diff --git a/kt-kernel/README.md b/kt-kernel/README.md
index 4aafb7c..82ce00b 100644
--- a/kt-kernel/README.md
+++ b/kt-kernel/README.md
@@ -28,7 +28,7 @@ High-performance kernel operations for KTransformers, featuring CPU-optimized Mo
 **Current Support Status:**
 - ✅ **Intel CPUs with AMX**: Fully supported (using weights converted to INT4/INT8 format)
 - ✅ **Universal CPU (llamafile backend)**: Supported (using GGUF-format weights)
-- ✅ **AMD CPUs with BLIS**: Supported (for int8 prefill & decode) - [Guide](https://github.com/kvcache-ai/ktransformers/blob/main/doc/en/kt-kernel/amd_blis)
+- ✅ **AMD CPUs with BLIS**: Supported (for int8 prefill & decode) - [Guide](https://github.com/kvcache-ai/ktransformers/blob/main/doc/en/kt-kernel/amd_blis.md)
 - ✅ **Kimi-K2 Native INT4 (RAWINT4)**: Supported on AVX512 CPUs (CPU-GPU shared INT4 weights) - [Guide](https://github.com/kvcache-ai/ktransformers/blob/main/doc/en/kt-kernel/Kimi-K2-Thinking-Native.md)
 - ✅ **FP8 weights (e.g., MiniMax-M2.1)**: Supported on AVX512 CPUs (CPU-GPU shared FP8 weights) - [Guide](https://github.com/kvcache-ai/ktransformers/blob/main/doc/en/kt-kernel/MiniMax-M2.1-Tutorial.md)