Fix typo in 1.3_Optimizing_Quantization_Modes.md (#61)

Author: MrWhoami

docs/toolchain/quantization/1.3_Optimizing_Quantization_Modes.md

@@ -38,7 +38,7 @@ bie_path = km.analysis(
     input_mapping,  
     output_dir="/data1/kneron_flow",  
     datapath_bitwidth_mode="int8",  
-    weightpath_bitwidth_mode="int8",  
+    weight_bitwidth_mode="int8",  
     model_in_bitwidth_mode="int8",  
     model_out_bitwidth_mode="int8",  
     cpu_node_bitwidth_mode="int8"  
@@ -57,7 +57,7 @@ bie_path = km.analysis(
     input_mapping,  
     output_dir="/data1/kneron_flow",  
     datapath_bitwidth_mode="mix light",  
-    weightpath_bitwidth_mode="mix light",  
+    weight_bitwidth_mode="mix light",  
     model_in_bitwidth_mode="int16",  
     model_out_bitwidth_mode="int16",  
     cpu_node_bitwidth_mode="int16"  
@@ -75,7 +75,7 @@ bie_path = km.analysis(
     input_mapping,  
     output_dir="/data1/kneron_flow",  
     datapath_bitwidth_mode="mixbw",  
-    weightpath_bitwidth_mode="mixbw",  
+    weight_bitwidth_mode="mixbw",  
     model_in_bitwidth_mode="int16",  
     model_out_bitwidth_mode="int16",  
     cpu_node_bitwidth_mode="int16",  
@@ -100,7 +100,7 @@ bie_path = km.analysis(
     input_mapping,  
     output_dir="/data1/kneron_flow",  
     datapath_bitwidth_mode="int16",  
-    weightpath_bitwidth_mode="int16",  
+    weight_bitwidth_mode="int16",  
     model_in_bitwidth_mode="int16",  
     model_out_bitwidth_mode="int16",  
     cpu_node_bitwidth_mode="int16"  
@@ -143,4 +143,4 @@ export MIXBW_DEBUG=True
 
 
 
-By following this workflow, developers can systematically optimize models for deployment on Kneron NPUs while balancing accuracy and performance.
+By following this workflow, developers can systematically optimize models for deployment on Kneron NPUs while balancing accuracy and performance.