diff --git a/example/auto_compression/README.md b/example/auto_compression/README.md
index 9035f76f4c7fbc891b379430193e9dc5ed623a6c..9e7f280d1c2839d6be37980e299b6d86a149dbb5 100644
--- a/example/auto_compression/README.md
+++ b/example/auto_compression/README.md
@@ -178,7 +178,7 @@ ac = AutoCompression(
     params_filename="inference.pdiparams",
     save_dir="MobileNetV1_quant",
     config={"QuantPost": {}, "HyperParameterOptimization": {'ptq_algo': ['avg'], 'max_quant_count': 3}},
-    ### config={"Quantization": {}, "Distillation": {}}, ### 如果您的系统为Windows系统, 请使用当前这一行配置
+    ### config={"QuantAware": {}, "Distillation": {}}, ### 如果您的系统为Windows系统, 请使用当前这一行配置
     train_dataloader=train_loader,
     eval_dataloader=train_loader)
 ac.compress()
diff --git a/example/auto_compression/detection/configs/picodet_s_qat_dis.yaml b/example/auto_compression/detection/configs/picodet_s_qat_dis.yaml
index 3b1b08e1b721b520d1c435c198b6fafdeb9b1a13..72de6102b0e16285eb3059022a4f5dc0bc70fb4f 100644
--- a/example/auto_compression/detection/configs/picodet_s_qat_dis.yaml
+++ b/example/auto_compression/detection/configs/picodet_s_qat_dis.yaml
@@ -18,7 +18,7 @@ Distillation:
   - conv2d_154.tmp_1
   - tmp_8
 
-Quantization:
+QuantAware:
   use_pact: true
   activation_quantize_type: 'moving_average_abs_max'
   weight_bits: 8
diff --git a/example/auto_compression/detection/configs/ppyoloe_l_qat_dis.yaml b/example/auto_compression/detection/configs/ppyoloe_l_qat_dis.yaml
index 730fb14ad4adfe197ac1410f736c8b17e81a4c9c..d1c28b0603d94314e3a8525ec0085e6d6d61e5b5 100644
--- a/example/auto_compression/detection/configs/ppyoloe_l_qat_dis.yaml
+++ b/example/auto_compression/detection/configs/ppyoloe_l_qat_dis.yaml
@@ -11,7 +11,7 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:
+QuantAware:
   onnx_format: true
   use_pact: true
   activation_quantize_type: 'moving_average_abs_max'
diff --git a/example/auto_compression/detection/configs/ppyoloe_s_qat_dis.yaml b/example/auto_compression/detection/configs/ppyoloe_s_qat_dis.yaml
index be324ac7c2706cf7858c7f17700237c291813b17..2090babab8e6df10a03243e9c6df2a0f1eed65ed 100644
--- a/example/auto_compression/detection/configs/ppyoloe_s_qat_dis.yaml
+++ b/example/auto_compression/detection/configs/ppyoloe_s_qat_dis.yaml
@@ -11,7 +11,7 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:
+QuantAware:
   onnx_format: true
   use_pact: true
   activation_quantize_type: 'moving_average_abs_max'
diff --git a/example/auto_compression/detection/configs/ssd_mbv1_voc_qat_dis.yaml b/example/auto_compression/detection/configs/ssd_mbv1_voc_qat_dis.yaml
index fc532a0a9c74461928e1a3be5cd1c621eb357db2..710a3a97f58e935bdc79cea40d0a132e86aebcd8 100644
--- a/example/auto_compression/detection/configs/ssd_mbv1_voc_qat_dis.yaml
+++ b/example/auto_compression/detection/configs/ssd_mbv1_voc_qat_dis.yaml
@@ -13,7 +13,7 @@ Distillation:
   - concat_2.tmp_0
   - concat_1.tmp_0
 
-Quantization:
+QuantAware:
   use_pact: True
   weight_quantize_type: 'channel_wise_abs_max'
   activation_quantize_type: 'moving_average_abs_max'
diff --git a/example/auto_compression/detection/configs/tinypose_qat_dis.yaml b/example/auto_compression/detection/configs/tinypose_qat_dis.yaml
index 237f736431c1ed983a4b7eafecb225d2d31c1487..7cf508fc2e70e1ef2667519ac3ab76e9f20895e4 100644
--- a/example/auto_compression/detection/configs/tinypose_qat_dis.yaml
+++ b/example/auto_compression/detection/configs/tinypose_qat_dis.yaml
@@ -12,7 +12,7 @@ Distillation:
   node:
   -  conv2d_441.tmp_0
 
-Quantization:
+QuantAware:
   use_pact: true
   activation_quantize_type: 'moving_average_abs_max'
   weight_quantize_type: 'channel_wise_abs_max'  # 'abs_max' is layer wise quant
diff --git a/example/auto_compression/detection/configs/yolov3_mbv1_qat_dis.yaml b/example/auto_compression/detection/configs/yolov3_mbv1_qat_dis.yaml
index bc48a679e90c30253122995f388559f37a68220d..e0cf9a9ba76ddafb63448a474f7509542bc24b4f 100644
--- a/example/auto_compression/detection/configs/yolov3_mbv1_qat_dis.yaml
+++ b/example/auto_compression/detection/configs/yolov3_mbv1_qat_dis.yaml
@@ -13,7 +13,7 @@ Distillation:
   - conv2d_85.tmp_0
   - conv2d_86.tmp_0
 
-Quantization:
+QuantAware:
   activation_quantize_type: 'range_abs_max'
   quantize_op_types:
   - conv2d
diff --git a/example/auto_compression/hyperparameter_tutorial.md b/example/auto_compression/hyperparameter_tutorial.md
index 7a1218afbaca83ce6a9783044fc5d7623d50fe56..fc0f65f6201df8dadca4656e29d9ec9f6c0adffa 100644
--- a/example/auto_compression/hyperparameter_tutorial.md
+++ b/example/auto_compression/hyperparameter_tutorial.md
@@ -3,11 +3,11 @@
 
 ## 1.1 各压缩方法超参解析
 
-### 1.1.1 量化训练（quantization）
+### 1.1.1 量化训练（quant aware）
 
 量化参数主要设置量化比特数和量化op类型，其中量化op包含卷积层（conv2d, depthwise_conv2d）和全连接层（mul, matmul_v2）。以下为只量化卷积层的示例：
 ```yaml
-Quantization:
+QuantAware:
     use_pact: false                               # 量化训练是否使用PACT方法
     weight_quantize_type: 'channel_wise_abs_max'  # 权重量化方式
     quantize_op_types: [conv2d, depthwise_conv2d] # 量化OP列表
diff --git a/example/auto_compression/image_classification/configs/EfficientNetB0/qat_dis.yaml b/example/auto_compression/image_classification/configs/EfficientNetB0/qat_dis.yaml
index 461f18e03b37ac88f7ee2447b491b5713fe6969c..1bcc0e73b1ab231807a6c9fa7a2097641df21e03 100644
--- a/example/auto_compression/image_classification/configs/EfficientNetB0/qat_dis.yaml
+++ b/example/auto_compression/image_classification/configs/EfficientNetB0/qat_dis.yaml
@@ -11,7 +11,7 @@ Distillation:
   node:
   - softmax_1.tmp_0
 
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false
diff --git a/example/auto_compression/image_classification/configs/GhostNet_x1_0/qat_dis.yaml b/example/auto_compression/image_classification/configs/GhostNet_x1_0/qat_dis.yaml
index 71e2eeaf5fb002420d5dd792bedafccfa0a568b5..0e91d4c09c5c52e416cad87e7961971584c7a9c6 100644
--- a/example/auto_compression/image_classification/configs/GhostNet_x1_0/qat_dis.yaml
+++ b/example/auto_compression/image_classification/configs/GhostNet_x1_0/qat_dis.yaml
@@ -10,7 +10,7 @@ Distillation:
   loss: l2
   node:
   - softmax_0.tmp_0
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false
diff --git a/example/auto_compression/image_classification/configs/InceptionV3/qat_dis.yaml b/example/auto_compression/image_classification/configs/InceptionV3/qat_dis.yaml
index 6276f703ea67a500d3d70f73f9c717569f720df0..3b1e4084cdcc1c20f955d73428e85d484577d146 100644
--- a/example/auto_compression/image_classification/configs/InceptionV3/qat_dis.yaml
+++ b/example/auto_compression/image_classification/configs/InceptionV3/qat_dis.yaml
@@ -12,7 +12,7 @@ Distillation:
   loss: l2
   node:
   - softmax_1.tmp_0
-Quantization:
+QuantAware:
   is_full_quantize: false
   activation_quantize_type: moving_average_abs_max
   weight_quantize_type: channel_wise_abs_max
diff --git a/example/auto_compression/image_classification/configs/MobileNetV1/qat_dis.yaml b/example/auto_compression/image_classification/configs/MobileNetV1/qat_dis.yaml
index 9c3c2b97f835ad092aecf4e4cf87249020608116..8f74d745d06687627b565fe68b28788ccd959255 100644
--- a/example/auto_compression/image_classification/configs/MobileNetV1/qat_dis.yaml
+++ b/example/auto_compression/image_classification/configs/MobileNetV1/qat_dis.yaml
@@ -10,7 +10,7 @@ Distillation:
   loss: l2
   node:
   - softmax_0.tmp_0
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false
diff --git a/example/auto_compression/image_classification/configs/MobileNetV3_large_x1_0/qat_dis.yaml b/example/auto_compression/image_classification/configs/MobileNetV3_large_x1_0/qat_dis.yaml
index e6a2e10499caeb90efccecfbfb73110b9ed67576..2da27da8db253f87d1a2e928d8740d4d39dab8b9 100644
--- a/example/auto_compression/image_classification/configs/MobileNetV3_large_x1_0/qat_dis.yaml
+++ b/example/auto_compression/image_classification/configs/MobileNetV3_large_x1_0/qat_dis.yaml
@@ -9,7 +9,7 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false
diff --git a/example/auto_compression/image_classification/configs/PPHGNet_tiny/qat_dis.yaml b/example/auto_compression/image_classification/configs/PPHGNet_tiny/qat_dis.yaml
index 64d5711713287650b5d2dcbbe8ded5d5206afde3..50eb9898d625717291b9d15c72521df8af796095 100644
--- a/example/auto_compression/image_classification/configs/PPHGNet_tiny/qat_dis.yaml
+++ b/example/auto_compression/image_classification/configs/PPHGNet_tiny/qat_dis.yaml
@@ -11,7 +11,7 @@ Distillation:
   node:
   - softmax_1.tmp_0
 
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false
diff --git a/example/auto_compression/image_classification/configs/PPLCNetV2_base/qat_dis.yaml b/example/auto_compression/image_classification/configs/PPLCNetV2_base/qat_dis.yaml
index 00c05888a9140b1ca2a8b0608948509491fc6e32..ae6f25b01eba3f990f7c3dc3acef71bd45da465c 100644
--- a/example/auto_compression/image_classification/configs/PPLCNetV2_base/qat_dis.yaml
+++ b/example/auto_compression/image_classification/configs/PPLCNetV2_base/qat_dis.yaml
@@ -11,7 +11,7 @@ Distillation:
   node:
   - softmax_1.tmp_0
 
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false
diff --git a/example/auto_compression/image_classification/configs/PPLCNet_x1_0/qat_dis.yaml b/example/auto_compression/image_classification/configs/PPLCNet_x1_0/qat_dis.yaml
index d588f8a9feb3612f4905f78844788a2680dd57e6..f0e67260aa103dd9b60925bb7ac1d609ff5e2f84 100644
--- a/example/auto_compression/image_classification/configs/PPLCNet_x1_0/qat_dis.yaml
+++ b/example/auto_compression/image_classification/configs/PPLCNet_x1_0/qat_dis.yaml
@@ -10,7 +10,7 @@ Distillation:
   loss: l2
   node:
   - softmax_1.tmp_0
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false
diff --git a/example/auto_compression/image_classification/configs/ResNet50_vd/qat_dis.yaml b/example/auto_compression/image_classification/configs/ResNet50_vd/qat_dis.yaml
index 078915aa3fc07c0db8c53feb0aa7f344550a8f19..2d0ea1ebc83203e67fd5de0bfe5f32ad26a77562 100644
--- a/example/auto_compression/image_classification/configs/ResNet50_vd/qat_dis.yaml
+++ b/example/auto_compression/image_classification/configs/ResNet50_vd/qat_dis.yaml
@@ -11,7 +11,7 @@ Distillation:
   node:
   - softmax_0.tmp_0
 
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false
diff --git a/example/auto_compression/image_classification/configs/ShuffleNetV2_x1_0/qat_dis.yaml b/example/auto_compression/image_classification/configs/ShuffleNetV2_x1_0/qat_dis.yaml
index 0c0ca531fe48b1f7d131e85203f22a5622f68abb..31c618e4b16b1e28e684c901557418dfb072c579 100644
--- a/example/auto_compression/image_classification/configs/ShuffleNetV2_x1_0/qat_dis.yaml
+++ b/example/auto_compression/image_classification/configs/ShuffleNetV2_x1_0/qat_dis.yaml
@@ -10,7 +10,7 @@ Distillation:
   loss: l2
   node:
   - softmax_0.tmp_0
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false
diff --git a/example/auto_compression/image_classification/configs/SqueezeNet1_0/qat_dis.yaml b/example/auto_compression/image_classification/configs/SqueezeNet1_0/qat_dis.yaml
index 073f38724bfba812c3aa5c4a0c493cb00736b7c2..4b9964afb8bb47902b793a06fed96419213b459d 100644
--- a/example/auto_compression/image_classification/configs/SqueezeNet1_0/qat_dis.yaml
+++ b/example/auto_compression/image_classification/configs/SqueezeNet1_0/qat_dis.yaml
@@ -10,7 +10,7 @@ Distillation:
   loss: l2
   node:
   - softmax_0.tmp_0
-Quantization:
+QuantAware:
   activation_bits: 8
   is_full_quantize: false
   activation_quantize_type: moving_average_abs_max
diff --git a/example/auto_compression/image_classification/configs/SwinTransformer_base_patch4_window7_224/qat_dis.yaml b/example/auto_compression/image_classification/configs/SwinTransformer_base_patch4_window7_224/qat_dis.yaml
index ce8f746f4ddc2c1b7f7eee8109ba701a87f0b571..99f61b775678ea347194ef78e62a7064f9581ac3 100644
--- a/example/auto_compression/image_classification/configs/SwinTransformer_base_patch4_window7_224/qat_dis.yaml
+++ b/example/auto_compression/image_classification/configs/SwinTransformer_base_patch4_window7_224/qat_dis.yaml
@@ -10,7 +10,7 @@ Distillation:
   loss: l2
   node:
   - softmax_48.tmp_0
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false
diff --git a/example/auto_compression/ocr/configs/ppocrv3_det_qat_dist.yaml b/example/auto_compression/ocr/configs/ppocrv3_det_qat_dist.yaml
index 7b54d42077ef118e2eac6e56d7c47425389b8605..b753dd71c0ee363d862460c2f6c79d93fd81fd4c 100644
--- a/example/auto_compression/ocr/configs/ppocrv3_det_qat_dist.yaml
+++ b/example/auto_compression/ocr/configs/ppocrv3_det_qat_dist.yaml
@@ -9,7 +9,7 @@ Distillation:
   alpha: 1.0
   loss: l2
 
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false
diff --git a/example/auto_compression/pytorch_yolo_series/configs/yolov5s_qat_dis.yaml b/example/auto_compression/pytorch_yolo_series/configs/yolov5s_qat_dis.yaml
index c2b230d89bd5fe70063f6e4cb698bd6deca488ee..683f4a6f0139a3b608b75727ec49f1f8c45fed78 100644
--- a/example/auto_compression/pytorch_yolo_series/configs/yolov5s_qat_dis.yaml
+++ b/example/auto_compression/pytorch_yolo_series/configs/yolov5s_qat_dis.yaml
@@ -12,7 +12,7 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:
+QuantAware:
   onnx_format: true
   use_pact: true
   activation_quantize_type: 'moving_average_abs_max'
diff --git a/example/auto_compression/pytorch_yolo_series/configs/yolov6s_qat_dis.yaml b/example/auto_compression/pytorch_yolo_series/configs/yolov6s_qat_dis.yaml
index 9a3f7af3b6abd408319a66b43de751ce0865e853..ded463063b3a9691a843f80a2e0650962171bc63 100644
--- a/example/auto_compression/pytorch_yolo_series/configs/yolov6s_qat_dis.yaml
+++ b/example/auto_compression/pytorch_yolo_series/configs/yolov6s_qat_dis.yaml
@@ -12,7 +12,7 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:
+QuantAware:
   onnx_format: true
   activation_quantize_type: 'moving_average_abs_max'
   quantize_op_types:
diff --git a/example/auto_compression/pytorch_yolo_series/configs/yolov6s_v2_qat_dis.yaml b/example/auto_compression/pytorch_yolo_series/configs/yolov6s_v2_qat_dis.yaml
index 4c775392b83f6d389d7655caf963ecb4df78ec6c..92acc3be8faacbcf114eb31cabfb752b3a7ada60 100644
--- a/example/auto_compression/pytorch_yolo_series/configs/yolov6s_v2_qat_dis.yaml
+++ b/example/auto_compression/pytorch_yolo_series/configs/yolov6s_v2_qat_dis.yaml
@@ -13,7 +13,7 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:
+QuantAware:
   onnx_format: true
   activation_quantize_type: 'moving_average_abs_max'
   quantize_op_types:
diff --git a/example/auto_compression/pytorch_yolo_series/configs/yolov7_qat_dis.yaml b/example/auto_compression/pytorch_yolo_series/configs/yolov7_qat_dis.yaml
index b7dcce83bc7f4968ad6bf450370ca8da7bd7a614..29c92a99dd3353b4a58bb6b12d0706a55d87e961 100644
--- a/example/auto_compression/pytorch_yolo_series/configs/yolov7_qat_dis.yaml
+++ b/example/auto_compression/pytorch_yolo_series/configs/yolov7_qat_dis.yaml
@@ -12,7 +12,7 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:
+QuantAware:
   onnx_format: true
   activation_quantize_type: 'moving_average_abs_max'
   quantize_op_types:
diff --git a/example/auto_compression/pytorch_yolo_series/configs/yolov7_tiny_qat_dis.yaml b/example/auto_compression/pytorch_yolo_series/configs/yolov7_tiny_qat_dis.yaml
index 7359e0ee6bd35c093e482607117f30c7c7be23c8..842902379ca74e2e4d25f15bca05e57a8ac3c47f 100644
--- a/example/auto_compression/pytorch_yolo_series/configs/yolov7_tiny_qat_dis.yaml
+++ b/example/auto_compression/pytorch_yolo_series/configs/yolov7_tiny_qat_dis.yaml
@@ -12,7 +12,7 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:
+QuantAware:
   onnx_format: true
   activation_quantize_type: 'moving_average_abs_max'
   quantize_op_types:
diff --git a/example/auto_compression/semantic_segmentation/configs/BiSeNetV2/BiSeNetV2_qat.yaml b/example/auto_compression/semantic_segmentation/configs/BiSeNetV2/BiSeNetV2_qat.yaml
index 1de0705a4ced8b78c21c201913203b64eb6686a6..52700e2d405e1df5277169f8da3e8dc1885cd2c9 100644
--- a/example/auto_compression/semantic_segmentation/configs/BiSeNetV2/BiSeNetV2_qat.yaml
+++ b/example/auto_compression/semantic_segmentation/configs/BiSeNetV2/BiSeNetV2_qat.yaml
@@ -11,7 +11,7 @@ Distillation:
   node:
   - conv2d_103.tmp_1
 
-Quantization:
+QuantAware:
   onnx_format: True
   quantize_op_types:
   - conv2d
diff --git a/example/auto_compression/semantic_segmentation/configs/deeplabv3/deeplabv3_qat.yaml b/example/auto_compression/semantic_segmentation/configs/deeplabv3/deeplabv3_qat.yaml
index 36c4e34efd0bf2fedb998731e7335998af98a21a..3a2e8c62004c36b97a564a53105a5160f6bc7eaa 100644
--- a/example/auto_compression/semantic_segmentation/configs/deeplabv3/deeplabv3_qat.yaml
+++ b/example/auto_compression/semantic_segmentation/configs/deeplabv3/deeplabv3_qat.yaml
@@ -11,7 +11,7 @@ Distillation:
   node:
   - conv2d_123.tmp_1
 
-Quantization:
+QuantAware:
   onnx_format: True
   quantize_op_types:
   - conv2d
diff --git a/example/auto_compression/semantic_segmentation/configs/hrnet/hrnet_qat.yaml b/example/auto_compression/semantic_segmentation/configs/hrnet/hrnet_qat.yaml
index 1eec456e267427d7a22545c63eeae82b5c5bc68b..8f852cdf7dc63729f7d0ab326d50dfaadd0fb335 100644
--- a/example/auto_compression/semantic_segmentation/configs/hrnet/hrnet_qat.yaml
+++ b/example/auto_compression/semantic_segmentation/configs/hrnet/hrnet_qat.yaml
@@ -10,7 +10,7 @@ Distillation:
   node:
   - conv2d_613.tmp_1
 
-Quantization:
+QuantAware:
   onnx_format: True
   quantize_op_types:
   - conv2d
diff --git a/example/auto_compression/semantic_segmentation/configs/pp_humanseg/pp_humanseg_qat.yaml b/example/auto_compression/semantic_segmentation/configs/pp_humanseg/pp_humanseg_qat.yaml
index 8893dc35c730c57380394696bc4b0147266224dc..5b497a1e61026f9b3321c3ac78972f50c331c01f 100644
--- a/example/auto_compression/semantic_segmentation/configs/pp_humanseg/pp_humanseg_qat.yaml
+++ b/example/auto_compression/semantic_segmentation/configs/pp_humanseg/pp_humanseg_qat.yaml
@@ -10,7 +10,7 @@ Distillation:
   node:
   - batch_norm_47.tmp_2
 
-Quantization:
+QuantAware:
   onnx_format: True
   quantize_op_types:
   - conv2d
diff --git a/example/auto_compression/semantic_segmentation/configs/pp_liteseg/pp_liteseg_qat.yaml b/example/auto_compression/semantic_segmentation/configs/pp_liteseg/pp_liteseg_qat.yaml
index 12eea7e26b79272a41fabd5a9daa7282fcf77662..f739354a1c573c1ccd79627a1e4e3aa197b0ac23 100644
--- a/example/auto_compression/semantic_segmentation/configs/pp_liteseg/pp_liteseg_qat.yaml
+++ b/example/auto_compression/semantic_segmentation/configs/pp_liteseg/pp_liteseg_qat.yaml
@@ -10,7 +10,7 @@ Distillation:
   node:
   - conv2d_95.tmp_0
 
-Quantization:
+QuantAware:
   onnx_format: True
   quantize_op_types:
   - conv2d
diff --git a/example/auto_compression/semantic_segmentation/configs/unet/unet_qat.yaml b/example/auto_compression/semantic_segmentation/configs/unet/unet_qat.yaml
index ff055e2b02361142a951a2c5bbb39bba8a8fa4ba..c25033f9ee1e2270b977e14eafbb80efe7a1b0fa 100644
--- a/example/auto_compression/semantic_segmentation/configs/unet/unet_qat.yaml
+++ b/example/auto_compression/semantic_segmentation/configs/unet/unet_qat.yaml
@@ -10,7 +10,7 @@ Distillation:
   node:
   - conv2d_37.tmp_1
 
-Quantization:
+QuantAware:
   onnx_format: True
   quantize_op_types:
   - conv2d
diff --git a/example/auto_compression/tensorflow_mobilenet/configs/mbv1_qat_dis.yaml b/example/auto_compression/tensorflow_mobilenet/configs/mbv1_qat_dis.yaml
index 359ac18d11f00bf4a06926f72a2df27257ae6be8..eda30fa312bfe93c3828a977568b2f85813267f1 100644
--- a/example/auto_compression/tensorflow_mobilenet/configs/mbv1_qat_dis.yaml
+++ b/example/auto_compression/tensorflow_mobilenet/configs/mbv1_qat_dis.yaml
@@ -38,7 +38,7 @@ Distillation:
   - batch_norm_26.tmp_3
   - conv2d_42.tmp_1
 
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false
diff --git a/example/full_quantization/image_classification/configs/mobilenetv3_large_qat_dis.yaml b/example/full_quantization/image_classification/configs/mobilenetv3_large_qat_dis.yaml
index 52c762196031768542dfdd5f582d11f39dff073f..8c72318b8f5c9affffd8659e462dc6c5be902661 100644
--- a/example/full_quantization/image_classification/configs/mobilenetv3_large_qat_dis.yaml
+++ b/example/full_quantization/image_classification/configs/mobilenetv3_large_qat_dis.yaml
@@ -9,7 +9,7 @@ Global:
 Distillation:
   alpha: 1.0
   loss: soft_label
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   activation_quantize_type: moving_average_abs_max
diff --git a/example/full_quantization/picodet/configs/picodet_npu.yaml b/example/full_quantization/picodet/configs/picodet_npu.yaml
index 2b6f6ab4d84e8926bffe3cda3185a79ed9167773..e48c3e4460c006fe31c973e291c150468726fa7a 100644
--- a/example/full_quantization/picodet/configs/picodet_npu.yaml
+++ b/example/full_quantization/picodet/configs/picodet_npu.yaml
@@ -15,7 +15,7 @@ PTQ:   # Post Training Quantization
   batch_size: 32
   batch_nums: 10
 
-Quantization:   # Auto Compression
+QuantAware:   # Auto Compression
   use_pact: true
   activation_quantize_type: 'moving_average_abs_max'
   weight_bits: 8
diff --git a/example/full_quantization/picodet/configs/picodet_npu_with_postprocess.yaml b/example/full_quantization/picodet/configs/picodet_npu_with_postprocess.yaml
index c28e608dc44735fb98f590b9c10457a83291a45d..2ebc81a0691d69d77c6a35cf3e77550e63aad4e1 100644
--- a/example/full_quantization/picodet/configs/picodet_npu_with_postprocess.yaml
+++ b/example/full_quantization/picodet/configs/picodet_npu_with_postprocess.yaml
@@ -15,7 +15,7 @@ PTQ:   # Post Training Quantization
   batch_size: 32
   batch_nums: 10
 
-Quantization:   # Auto Compression
+QuantAware:   # Auto Compression
   use_pact: true
   activation_quantize_type: 'moving_average_abs_max'
   weight_bits: 8
diff --git a/example/full_quantization/ppyoloe/configs/ppyoloe_s_416_qat_dis.yaml b/example/full_quantization/ppyoloe/configs/ppyoloe_s_416_qat_dis.yaml
index bd08b8ebaf647f1194b5a566d309476e000c0631..964f361dac895e724c6ee9cc80f70d0d17150643 100644
--- a/example/full_quantization/ppyoloe/configs/ppyoloe_s_416_qat_dis.yaml
+++ b/example/full_quantization/ppyoloe/configs/ppyoloe_s_416_qat_dis.yaml
@@ -20,7 +20,7 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:   # Auto Compression
+QuantAware:   # Auto Compression
   onnx_format: true
   use_pact: true
   activation_quantize_type: 'moving_average_abs_max'
diff --git a/example/full_quantization/ppyoloe/configs/ppyoloe_s_qat_dis.yaml b/example/full_quantization/ppyoloe/configs/ppyoloe_s_qat_dis.yaml
index 6867ef29a2c2adc1f0e8296d4abd96d7cab7e645..a0b6ab27e8af868d802e24ea2912b5132fddee2e 100644
--- a/example/full_quantization/ppyoloe/configs/ppyoloe_s_qat_dis.yaml
+++ b/example/full_quantization/ppyoloe/configs/ppyoloe_s_qat_dis.yaml
@@ -16,7 +16,7 @@ PTQ:   # Post Training Quantization
   batch_size: 10
   batch_nums: 10
 
-Quantization:   # Auto Compression
+QuantAware:   # Auto Compression
   onnx_format: true
   use_pact: true
   activation_quantize_type: 'moving_average_abs_max'
diff --git a/paddleslim/auto_compression/__init__.py b/paddleslim/auto_compression/__init__.py
index cfc26259d2fa85cd80710eb61972483681525f6b..bb0129b21b13224e77e29f286c1bb6f14fb412df 100644
--- a/paddleslim/auto_compression/__init__.py
+++ b/paddleslim/auto_compression/__init__.py
@@ -20,7 +20,8 @@ from .utils import *
 
 __all__ = [
     "AutoCompression",
-    "Quantization",
+    "QuantAware",
+    "QuantPost",
     "Distillation",
     "MultiTeacherDistillation",
     "HyperParameterOptimization",
diff --git a/paddleslim/auto_compression/auto_strategy.py b/paddleslim/auto_compression/auto_strategy.py
index 35b36e8d0a923b640a581fc3b0b475141b787651..cfad16b771d3f75ecdd0dcb7cf457993bb18c550 100644
--- a/paddleslim/auto_compression/auto_strategy.py
+++ b/paddleslim/auto_compression/auto_strategy.py
@@ -125,17 +125,17 @@ def create_strategy_config(strategy_str, model_type):
         ### only platform is linux can use smac to do hyperparameter optimization
         ### choose quant_aware to do quantization in other platform
         if platform.system().lower() == 'linux':
-            quant_config = Quantization(**default_quant_config)
+            quant_config = QuantAware(**default_quant_config)
             hpo_config = HyperParameterOptimization(**hpo_config_tester)
             configs.append({
                 'QuantPost': quant_config,
                 'HyperParameterOptimization': hpo_config
             })
         else:
-            quant_config = Quantization(**default_quant_config)
+            quant_config = QuantAware(**default_quant_config)
             dis_config = Distillation()
             configs.append({
-                'Quantization': quant_config,
+                'QuantAware': quant_config,
                 'Distillation': dis_config
             })
 
@@ -248,7 +248,7 @@ def get_final_quant_config(ptq_loss, model_type=None):
         return None
     ### if emd loss less than MAGIC_MAX_EMD_DISTANCE, select quant_post & hpo.
     elif ptq_loss < MAGIC_MAX_EMD_DISTANCE:
-        quant_config = Quantization(**default_quant_config)
+        quant_config = QuantAware(**default_quant_config)
         hpo_config = HyperParameterOptimization(**default_hpo_config)
         configs = [{
             'QuantPost': quant_config,
@@ -257,9 +257,9 @@ def get_final_quant_config(ptq_loss, model_type=None):
 
     ### if emd loss greater than MAGIC_MAX_EMD_DISTANCE, select qat & dist.
     else:
-        quant_config = Quantization(**default_quant_config)
+        quant_config = QuantAware(**default_quant_config)
         dis_config = Distillation()
-        configs = [{'Quantization': quant_config, 'Distillation': dis_config}]
+        configs = [{'QuantAware': quant_config, 'Distillation': dis_config}]
         _logger.info("Start Quantization and Distillation Training.")
 
     return configs
diff --git a/paddleslim/auto_compression/compressor.py b/paddleslim/auto_compression/compressor.py
index d51d28309ed4cc1628fb8831e0c973e28d20418f..e86551c727303eaf3006619692027d179ac86f60 100644
--- a/paddleslim/auto_compression/compressor.py
+++ b/paddleslim/auto_compression/compressor.py
@@ -88,7 +88,7 @@ class AutoCompression:
                 Only one strategy(quant_post with hyperparameter optimization) can set train_config 
                 to None. Default: None. 
             strategy_config(dict, list(dict), optional): The strategy config. You can set single config to get multi-strategy config, such as
-                1. set ``Quantization`` and ``Distillation`` to get quant_aware and distillation compress config.
+                1. set ``QuantAware`` and ``Distillation`` to get quant_aware and distillation compress config.
                     The Quantization config can reference `https://github.com/PaddlePaddle/PaddleSlim/blob/develop/paddleslim/auto_compression/strategy_config.py#L55`_ .
                     The Distillation config can reference `https://github.com/PaddlePaddle/PaddleSlim/blob/develop/paddleslim/auto_compression/strategy_config.py#L107`_ .
                 2. set ``QuantPost`` and ``HyperParameterOptimization`` to get quant_post and hyperparameter optimization compress config.
@@ -350,7 +350,7 @@ class AutoCompression:
         strategy = []
         config = []
         for strategy_c in strategy_config:
-            quant_config = strategy_c.get("Quantization", None)
+            quant_config = strategy_c.get("QuantAware", None)
             hpo_config = strategy_c.get("HyperParameterOptimization", None)
             ptq_config = strategy_c.get("QuantPost", None)
             prune_config = strategy_c.get("ChannelPrune", None)
diff --git a/paddleslim/auto_compression/strategy_config.py b/paddleslim/auto_compression/strategy_config.py
index 0ebc341e82be498b34fb4adf52719cba3a6f4753..02d9204279527fca5ad2f136b695f783890d43c3 100644
--- a/paddleslim/auto_compression/strategy_config.py
+++ b/paddleslim/auto_compression/strategy_config.py
@@ -16,7 +16,7 @@ from collections import namedtuple
 
 __all__ = [
     "BaseStrategy",
-    "Quantization",
+    "QuantAware",
     "Distillation",
     "MultiTeacherDistillation",
     "HyperParameterOptimization",
@@ -33,7 +33,7 @@ __all__ = [
 ]
 
 SUPPORTED_CONFIG = [
-    "Quantization",
+    "QuantAware",
     "Distillation",
     "MultiTeacherDistillation",
     "HyperParameterOptimization",
@@ -52,7 +52,7 @@ class BaseStrategy:
         self.name = name
 
 
-class Quantization(BaseStrategy):
+class QuantAware(BaseStrategy):
     def __init__(self,
                  quantize_op_types=[
                      'conv2d', 'depthwise_conv2d', 'conv2d_transpose', 'mul',
@@ -87,7 +87,7 @@ class Quantization(BaseStrategy):
             onnx_format(bool): Whether to export the quantized model with format of ONNX. Default is False.
             is_full_quantize(bool): If True, 'quantoze_op_types' will be TRANSFORM_PASS_OP_TYPES + QUANT_DEQUANT_PASS_OP_TYPES. Default: False.
         """
-        super(Quantization, self).__init__("Quantization")
+        super(QuantAware, self).__init__("QuantAware")
         self.quantize_op_types = quantize_op_types
         self.weight_bits = weight_bits
         self.activation_bits = activation_bits
diff --git a/tests/act/qat_dist_train.yaml b/tests/act/qat_dist_train.yaml
index d0493c49d94154953d4cf1c81e21420f1983f363..82266ed7949d44f42114ba28758a6740460b4e8a 100644
--- a/tests/act/qat_dist_train.yaml
+++ b/tests/act/qat_dist_train.yaml
@@ -1,5 +1,5 @@
 # For unittests
-Quantization:
+QuantAware:
   quantize_op_types:
   - conv2d
   - depthwise_conv2d