Update AMX.md

doc/en/AMX.md

@@ -5,7 +5,7 @@ What excites me most about Qwen3MoE is that, unlike the 671 B “giant” model,
 
 Server CPU (Xeon 4) + RTX 4090
 
-Consumer-grade CPU (Core i9-14900KF + dual-channel DDR4-4000 MT/s) + RTX 4090
+Consumer-grade CPU (Core i9-14900KF + dual-channel DDR5-4000 MT/s) + RTX 4090
 
 The results are as follows:
 
@@ -170,4 +170,4 @@ KTransformers allows users to easily switch between different backends through s
 
 **Note:** Currently, using AMXInt8 requires reading weights from a BF16 GGUF file and performing online quantization during model loading. This may cause slightly slower load times. Future versions will provide pre-quantized weights to eliminate this overhead.
 
-![Image](https://github.com/user-attachments/assets/7c33c410-3af9-456f-aa67-5b24e19ba680)
\ No newline at end of file
+![Image](https://github.com/user-attachments/assets/7c33c410-3af9-456f-aa67-5b24e19ba680)