diff --git a/docs/getting_started/installation/cpu/arm.inc.md b/docs/getting_started/installation/cpu/arm.inc.md
index 59b71dcaf911..6c05900cf45c 100644
--- a/docs/getting_started/installation/cpu/arm.inc.md
+++ b/docs/getting_started/installation/cpu/arm.inc.md
@@ -23,7 +23,7 @@ ARM CPU backend currently supports Float32, FP16 and BFloat16 datatypes.
 # --8<-- [end:pre-built-wheels]
 # --8<-- [start:build-wheel-from-source]
 
---8<-- "docs/getting_started/installation/cpu/cpu/build.inc.md"
+--8<-- "docs/getting_started/installation/cpu/build.inc.md"
 
 Testing has been conducted on AWS Graviton3 instances for compatibility.
 
diff --git a/docs/getting_started/installation/cpu/x86.inc.md b/docs/getting_started/installation/cpu/x86.inc.md
index 9434eeea8b4a..0412d4ccef00 100644
--- a/docs/getting_started/installation/cpu/x86.inc.md
+++ b/docs/getting_started/installation/cpu/x86.inc.md
@@ -24,7 +24,7 @@ vLLM initially supports basic model inferencing and serving on x86 CPU platform,
 # --8<-- [end:pre-built-wheels]
 # --8<-- [start:build-wheel-from-source]
 
---8<-- "docs/getting_started/installation/cpu/cpu/build.inc.md"
+--8<-- "docs/getting_started/installation/cpu/build.inc.md"
 
 !!! note
     - AVX512_BF16 is an extension ISA provides native BF16 data type conversion and vector product instructions, which brings some performance improvement compared with pure AVX512. The CPU backend build script will check the host CPU flags to determine whether to enable AVX512_BF16.