diff --git a/models/cv/classification/convnext_s/igie/README.md b/models/cv/classification/convnext_s/igie/README.md
index 34371ae5f7bfc5552c29adb04a4b5a9d13fbff91..aa15fa10b6e6916d59d8f2a876d94db872a388db 100644
--- a/models/cv/classification/convnext_s/igie/README.md
+++ b/models/cv/classification/convnext_s/igie/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/convnext_s/igie/ci/prepare.sh b/models/cv/classification/convnext_s/igie/ci/prepare.sh
index 29082e3d1a7c83603555fe61c5cbde331bd05a09..bef183cdf2cc62ac60e5eb6dc45d9ae0f2773b06 100644
--- a/models/cv/classification/convnext_s/igie/ci/prepare.sh
+++ b/models/cv/classification/convnext_s/igie/ci/prepare.sh
@@ -25,7 +25,7 @@ else
 fi
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 # git clone mmpretrain
 # git clone -b v0.24.0 https://github.com/open-mmlab/mmpretrain.git
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
diff --git a/models/cv/classification/cspdarknet53/igie/README.md b/models/cv/classification/cspdarknet53/igie/README.md
index 50d690414b8965d5b336803cd9f56eca6a26881e..c4990468cd18b8785393c2b198ecd123eaf3b2b0 100644
--- a/models/cv/classification/cspdarknet53/igie/README.md
+++ b/models/cv/classification/cspdarknet53/igie/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/cspdarknet53/igie/ci/prepare.sh b/models/cv/classification/cspdarknet53/igie/ci/prepare.sh
index 782aa45f7dfabbc813edc99a17f6e3acb9f5e04e..3d0ba0fc95047de1a5b0115a1fd594a96961c2c0 100644
--- a/models/cv/classification/cspdarknet53/igie/ci/prepare.sh
+++ b/models/cv/classification/cspdarknet53/igie/ci/prepare.sh
@@ -25,7 +25,7 @@ else
     echo "Not Support Os"
 fi
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
 python3 ../../igie_common/export_mmcls.py --cfg mmpretrain/configs/cspnet/cspdarknet50_8xb32_in1k.py --weight cspdarknet53_3rdparty_8xb32_in1k_20220329-bd275287.pth --output cspdarknet53.onnx
 onnxsim cspdarknet53.onnx cspdarknet53_opt.onnx
\ No newline at end of file
diff --git a/models/cv/classification/cspdarknet53/ixrt/README.md b/models/cv/classification/cspdarknet53/ixrt/README.md
index ecb8aefbdafe3a02760a385b4cb0656a658d27fd..656e90986852bb8aab727b582cc2079575f959e8 100644
--- a/models/cv/classification/cspdarknet53/ixrt/README.md
+++ b/models/cv/classification/cspdarknet53/ixrt/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../ixrt_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/cspdarknet53/ixrt/ci/prepare.sh b/models/cv/classification/cspdarknet53/ixrt/ci/prepare.sh
index 0461b3a16f4a1edc928a84dd87d67d821fafb52a..0a7a20704de6182179570c1c859cb918a4643bfa 100644
--- a/models/cv/classification/cspdarknet53/ixrt/ci/prepare.sh
+++ b/models/cv/classification/cspdarknet53/ixrt/ci/prepare.sh
@@ -26,7 +26,7 @@ else
 fi
 
 pip install -r ../../ixrt_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /root/data/repos/mmpretrain-0.24.0.zip -d ./
 
 python3 ../../ixrt_common/export_mmcls.py --cfg mmpretrain/configs/cspnet/cspdarknet50_8xb32_in1k.py --weight /root/data/checkpoints/cspdarknet53_3rdparty_8xb32_in1k_20220329-bd275287.pth --output cspdarknet53.onnx
diff --git a/models/cv/classification/cspresnet50/igie/README.md b/models/cv/classification/cspresnet50/igie/README.md
index 41da2145a1c47791a6a063ec10376d5c34d3fb4f..3e50bc4ca67e8ac1f3009b6010e7c1103f84211b 100644
--- a/models/cv/classification/cspresnet50/igie/README.md
+++ b/models/cv/classification/cspresnet50/igie/README.md
@@ -31,7 +31,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/cspresnet50/igie/ci/prepare.sh b/models/cv/classification/cspresnet50/igie/ci/prepare.sh
index f1ae8f103c8f9901ebb9185632ed6a9249de2261..6b3d53d1de98100d9e70407a215ac4d5de4c74b8 100644
--- a/models/cv/classification/cspresnet50/igie/ci/prepare.sh
+++ b/models/cv/classification/cspresnet50/igie/ci/prepare.sh
@@ -25,7 +25,7 @@ else
     echo "Not Support Os"
 fi
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
 # export onnx model
 python3 ../../igie_common/export_mmcls.py --cfg mmpretrain/configs/cspnet/cspresnet50_8xb32_in1k.py --weight cspresnet50_3rdparty_8xb32_in1k_20220329-dd6dddfb.pth --output cspresnet50.onnx
diff --git a/models/cv/classification/cspresnet50/ixrt/README.md b/models/cv/classification/cspresnet50/ixrt/README.md
index 8b8e0d267ce35acc564f131d64b0c00c2299d82b..7cc2094529bb767de32da6fee5ad9aea2a39a585 100644
--- a/models/cv/classification/cspresnet50/ixrt/README.md
+++ b/models/cv/classification/cspresnet50/ixrt/README.md
@@ -31,7 +31,7 @@ apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../ixrt_common/requirements.txt
 
-pip3 install mmcls==0.24.0 mmcv==1.5.3
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/cspresnet50/ixrt/ci/prepare.sh b/models/cv/classification/cspresnet50/ixrt/ci/prepare.sh
index b8846f98b72314950930a4de3dbb005a0b4218cd..e933030a0ac8f31960433ade3b129a23b7296c23 100644
--- a/models/cv/classification/cspresnet50/ixrt/ci/prepare.sh
+++ b/models/cv/classification/cspresnet50/ixrt/ci/prepare.sh
@@ -25,7 +25,7 @@ else
     echo "Not Support Os"
 fi
 
-pip3 install mmcls==0.24.0 mmcv==1.5.3
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 pip install -r ../../ixrt_common/requirements.txt
 unzip -q /root/data/repos/mmpretrain-0.24.0.zip -d ./
 mkdir -p checkpoints
diff --git a/models/cv/classification/cspresnext50/igie/README.md b/models/cv/classification/cspresnext50/igie/README.md
index 0397bfa3000f1bc7ae40fd692e5955351fa4e9bc..87d9477bd931bd50238419d5ffdc7883d53fb0fd 100644
--- a/models/cv/classification/cspresnext50/igie/README.md
+++ b/models/cv/classification/cspresnext50/igie/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/cspresnext50/igie/ci/prepare.sh b/models/cv/classification/cspresnext50/igie/ci/prepare.sh
index 5f3a564fe92e160188b50dc3c0a02245ba56a4cf..570e47b6471def487f863ef7ec9fcacc9d482ad7 100644
--- a/models/cv/classification/cspresnext50/igie/ci/prepare.sh
+++ b/models/cv/classification/cspresnext50/igie/ci/prepare.sh
@@ -25,7 +25,7 @@ else
     echo "Not Support Os"
 fi
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
 # export onnx model
 python3 ../../igie_common/export_mmcls.py --cfg mmpretrain/configs/cspnet/cspresnext50_8xb32_in1k.py --weight cspresnext50_3rdparty_8xb32_in1k_20220329-2cc84d21.pth --output cspresnext50.onnx
diff --git a/models/cv/classification/cspresnext50/ixrt/README.md b/models/cv/classification/cspresnext50/ixrt/README.md
index 52151b73fc61b2c089418f7a8cad22c069675d3c..1924b7e3296ba228ac6cf638075a4f71a39b1e63 100644
--- a/models/cv/classification/cspresnext50/ixrt/README.md
+++ b/models/cv/classification/cspresnext50/ixrt/README.md
@@ -22,7 +22,7 @@ Dataset: <https://www.image-net.org/download.php> to download the validation dat
 
 ```bash
 pip3 install -r ../../ixrt_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/cspresnext50/ixrt/ci/prepare.sh b/models/cv/classification/cspresnext50/ixrt/ci/prepare.sh
index 525ce08a8d52bb5ee4fd2896389aac10c8ce4f3e..04e7132ac9645bc5d414f55028584fc6e1e2e354 100644
--- a/models/cv/classification/cspresnext50/ixrt/ci/prepare.sh
+++ b/models/cv/classification/cspresnext50/ixrt/ci/prepare.sh
@@ -17,7 +17,7 @@
 set -x
 
 pip install -r ../../ixrt_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /root/data/repos/mmpretrain-0.24.0.zip -d ./
 
 python3 ../../ixrt_common/export_mmcls.py --cfg mmpretrain/configs/cspnet/cspresnext50_8xb32_in1k.py --weight cspresnext50_3rdparty_8xb32_in1k_20220329-2cc84d21.pth --output cspresnext50.onnx
diff --git a/models/cv/classification/deit_tiny/igie/README.md b/models/cv/classification/deit_tiny/igie/README.md
index 82215f9861e5dc7ef9dcbbb2156227442e8614a3..9e6a6484bc5843877ea9c80aa5dfde619b394b39 100644
--- a/models/cv/classification/deit_tiny/igie/README.md
+++ b/models/cv/classification/deit_tiny/igie/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/deit_tiny/igie/ci/prepare.sh b/models/cv/classification/deit_tiny/igie/ci/prepare.sh
index 223bd4edbb7d32fd820fa0b49de61448176d4aae..95eb0baa7398252f577aa96168f1dbdadde067ce 100644
--- a/models/cv/classification/deit_tiny/igie/ci/prepare.sh
+++ b/models/cv/classification/deit_tiny/igie/ci/prepare.sh
@@ -25,7 +25,7 @@ else
     echo "Not Support Os"
 fi
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
 python3 ../../igie_common/export_mmcls.py --cfg mmpretrain/configs/deit/deit-tiny_pt-4xb256_in1k.py --weight deit-tiny_pt-4xb256_in1k_20220218-13b382a0.pth --output deit_tiny.onnx
 onnxsim deit_tiny.onnx deit_tiny_opt.onnx
\ No newline at end of file
diff --git a/models/cv/classification/deit_tiny/ixrt/README.md b/models/cv/classification/deit_tiny/ixrt/README.md
index d463290e4b3e6f39a503fe6e9d2e0fb0ce38f873..835dfafb0026a7d935ed48a5472947e7509db505 100644
--- a/models/cv/classification/deit_tiny/ixrt/README.md
+++ b/models/cv/classification/deit_tiny/ixrt/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../ixrt_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/deit_tiny/ixrt/ci/prepare.sh b/models/cv/classification/deit_tiny/ixrt/ci/prepare.sh
index 31c78d8f5130f22d4b8e5face7683159abb7586b..2da607f9896c0d7e8c30ec3e72c36d9c14fe6e7a 100644
--- a/models/cv/classification/deit_tiny/ixrt/ci/prepare.sh
+++ b/models/cv/classification/deit_tiny/ixrt/ci/prepare.sh
@@ -26,7 +26,7 @@ else
 fi
 
 pip install -r ../../ixrt_common/requirements.txt
-pip install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /root/data/repos/mmpretrain-0.24.0.zip -d ./
 mkdir -p checkpoints
 python3 ../../ixrt_common/export_mmcls.py --cfg mmpretrain/configs/deit/deit-tiny_pt-4xb256_in1k.py --weight deit-tiny_pt-4xb256_in1k_20220218-13b382a0.pth --output checkpoints/deit_tiny.onnx
diff --git a/models/cv/classification/hrnet_w18/igie/README.md b/models/cv/classification/hrnet_w18/igie/README.md
index c7aae72b182dfd20f3a272f1fb8eb369887e0a49..11fa8eb76649117ae3cf10882a0bef8fd907abfc 100644
--- a/models/cv/classification/hrnet_w18/igie/README.md
+++ b/models/cv/classification/hrnet_w18/igie/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/hrnet_w18/igie/ci/prepare.sh b/models/cv/classification/hrnet_w18/igie/ci/prepare.sh
index 55010bdc4d7a92839237cb5912fa9dce492a851c..caeb10092d0772f29de25f18acf321df495b3dfe 100644
--- a/models/cv/classification/hrnet_w18/igie/ci/prepare.sh
+++ b/models/cv/classification/hrnet_w18/igie/ci/prepare.sh
@@ -25,7 +25,7 @@ else
     echo "Not Support Os"
 fi
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
 python3 ../../igie_common/export_mmcls.py --cfg mmpretrain/configs/hrnet/hrnet-w18_4xb32_in1k.py --weight hrnet-w18_3rdparty_8xb32_in1k_20220120-0c10b180.pth --output hrnet_w18.onnx
 onnxsim hrnet_w18.onnx hrnet_w18_opt.onnx
\ No newline at end of file
diff --git a/models/cv/classification/hrnet_w18/ixrt/README.md b/models/cv/classification/hrnet_w18/ixrt/README.md
index ea539f45ea1c02b54ae5238a1c77352a2b024d3a..10a8d92a794dc174535d873dab61849572efa28b 100644
--- a/models/cv/classification/hrnet_w18/ixrt/README.md
+++ b/models/cv/classification/hrnet_w18/ixrt/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../ixrt_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/hrnet_w18/ixrt/ci/prepare.sh b/models/cv/classification/hrnet_w18/ixrt/ci/prepare.sh
index f60ae0b40f67734d1898265a43aa9877659d08e9..35f1f90c3a204a6779d52cf3a08563e2ed030f83 100644
--- a/models/cv/classification/hrnet_w18/ixrt/ci/prepare.sh
+++ b/models/cv/classification/hrnet_w18/ixrt/ci/prepare.sh
@@ -26,7 +26,7 @@ else
 fi
 
 pip install -r ../../ixrt_common/requirements.txt
-pip install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /root/data/repos/mmpretrain-0.24.0.zip -d ./
 mkdir checkpoints
 python3 ../../ixrt_common/export_mmcls.py --cfg mmpretrain/configs/hrnet/hrnet-w18_4xb32_in1k.py --weight hrnet-w18_3rdparty_8xb32_in1k_20220120-0c10b180.pth --output checkpoints/hrnet_w18.onnx
\ No newline at end of file
diff --git a/models/cv/classification/mlp_mixer_base/igie/README.md b/models/cv/classification/mlp_mixer_base/igie/README.md
index 69d89ac0c1f29dcec2b4a0e45f7538a504c45f97..3aedac3816fac6f102af761877dd4807944926cc 100644
--- a/models/cv/classification/mlp_mixer_base/igie/README.md
+++ b/models/cv/classification/mlp_mixer_base/igie/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/mlp_mixer_base/igie/ci/prepare.sh b/models/cv/classification/mlp_mixer_base/igie/ci/prepare.sh
index 1e50e388d1dde5f6f7d25b9af807f7ce0dfb0263..afdd2bce13d87462c3f3ca2c25cef4fa912284ed 100644
--- a/models/cv/classification/mlp_mixer_base/igie/ci/prepare.sh
+++ b/models/cv/classification/mlp_mixer_base/igie/ci/prepare.sh
@@ -26,7 +26,7 @@ else
 fi
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
 # export onnx model
 python3 ../../igie_common/export_mmcls.py --cfg mmpretrain/configs/mlp_mixer/mlp-mixer-base-p16_64xb64_in1k.py --weight mixer-base-p16_3rdparty_64xb64_in1k_20211124-1377e3e0.pth --output mlp_mixer_base.onnx
diff --git a/models/cv/classification/mvitv2_base/igie/README.md b/models/cv/classification/mvitv2_base/igie/README.md
index 7880959bf6bc95d79c0c4c97e1400fb3ddc974f2..9e3d8e521855077ff406536e66b8a091248090db 100644
--- a/models/cv/classification/mvitv2_base/igie/README.md
+++ b/models/cv/classification/mvitv2_base/igie/README.md
@@ -23,7 +23,7 @@ Dataset: <https://www.image-net.org/download.php> to download the validation dat
 
 ```bash
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/repvgg/igie/README.md b/models/cv/classification/repvgg/igie/README.md
index 9e4368ff62b05aefb57ee9996d7cec89695f987a..ec288e10346b9d75dde81ebb001430b7fda85ce2 100644
--- a/models/cv/classification/repvgg/igie/README.md
+++ b/models/cv/classification/repvgg/igie/README.md
@@ -29,7 +29,9 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0 mmengine
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0 mmengine
+# set weights_only=False to be comaptible with pytorch 2.7 
+sed -i '318 s/map_location)/map_location, weights_only=False)/' /usr/local/lib/python3.10/site-packages/mmcv/runner/checkpoint.py
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/repvgg/igie/ci/prepare.sh b/models/cv/classification/repvgg/igie/ci/prepare.sh
index 7665a75d16651ed2ae1f2062e774bb171c823296..5f410c74b485a610e203fa0755b4a255dec583b6 100644
--- a/models/cv/classification/repvgg/igie/ci/prepare.sh
+++ b/models/cv/classification/repvgg/igie/ci/prepare.sh
@@ -25,6 +25,8 @@ else
     echo "Not Support Os"
 fi
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0 mmengine
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0 mmengine
+# set weights_only=False to be comaptible with pytorch 2.7 
+sed -i '318 s/map_location)/map_location, weights_only=False)/' /usr/local/lib/python3.10/site-packages/mmcv/runner/checkpoint.py
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
 python3 ../../igie_common/export_mmcls.py --cfg mmpretrain/configs/repvgg/repvgg-A0_4xb64-coslr-120e_in1k.py --weight repvgg-A0_8xb32_in1k_20221213-60ae8e23.pth --output repvgg.onnx
\ No newline at end of file
diff --git a/models/cv/classification/repvgg/ixrt/README.md b/models/cv/classification/repvgg/ixrt/README.md
index fbc5915b2c7a99200e85eaf45ac3c6ba17c91501..c91ddc96c3cfb2cd750685421a83fd100b96f68b 100644
--- a/models/cv/classification/repvgg/ixrt/README.md
+++ b/models/cv/classification/repvgg/ixrt/README.md
@@ -28,7 +28,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../ixrt_common/requirements.txt
-pip3 install mmcls==0.24.0 mmcv==1.5.3
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/repvgg/ixrt/ci/prepare.sh b/models/cv/classification/repvgg/ixrt/ci/prepare.sh
index 3925cf31b58963c80d3ae1d48266385509b368d0..7373aa352612d84368273e49e0d743d765b6fb28 100644
--- a/models/cv/classification/repvgg/ixrt/ci/prepare.sh
+++ b/models/cv/classification/repvgg/ixrt/ci/prepare.sh
@@ -26,7 +26,7 @@ else
 fi
 
 pip install -r ../../ixrt_common/requirements.txt
-pip3 install mmcls==0.24.0 mmcv==1.5.3
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /root/data/repos/mmpretrain-0.24.0.zip -d ./
 mkdir -p checkpoints 
 python3 ../../ixrt_common/export_mmcls.py   \
diff --git a/models/cv/classification/res2net50/igie/README.md b/models/cv/classification/res2net50/igie/README.md
index fc857f031e94858890441a5039e9e6714e9d72ac..43c405811075b07f5eae483dcb7ddb6d26563211 100644
--- a/models/cv/classification/res2net50/igie/README.md
+++ b/models/cv/classification/res2net50/igie/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/res2net50/igie/ci/prepare.sh b/models/cv/classification/res2net50/igie/ci/prepare.sh
index e2372d86856d5f99e22cfe5d49788a773aea4642..4b3bf9efe9fb74dd161aa64f53ba3057f2bd3ef0 100644
--- a/models/cv/classification/res2net50/igie/ci/prepare.sh
+++ b/models/cv/classification/res2net50/igie/ci/prepare.sh
@@ -25,7 +25,7 @@ else
     echo "Not Support Os"
 fi
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
 python3 ../../igie_common/export_mmcls.py --cfg mmpretrain/configs/res2net/res2net50-w14-s8_8xb32_in1k.py --weight res2net50-w14-s8_3rdparty_8xb32_in1k_20210927-bc967bf1.pth --output res2net50.onnx
 onnxsim res2net50.onnx res2net50_opt.onnx
\ No newline at end of file
diff --git a/models/cv/classification/resnetv1d50/igie/README.md b/models/cv/classification/resnetv1d50/igie/README.md
index b65e89d3ce569ec8af9cda6618918fd171016c65..aa6f20af98d055796059fca75fedccec87b94e28 100644
--- a/models/cv/classification/resnetv1d50/igie/README.md
+++ b/models/cv/classification/resnetv1d50/igie/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/resnetv1d50/igie/ci/prepare.sh b/models/cv/classification/resnetv1d50/igie/ci/prepare.sh
index 1a6b8cc5324e8a4463fd573651dbdb6e6bb99c36..f4ccc07cea565c9a12f81fb08a8ec510b75f7b52 100644
--- a/models/cv/classification/resnetv1d50/igie/ci/prepare.sh
+++ b/models/cv/classification/resnetv1d50/igie/ci/prepare.sh
@@ -25,6 +25,6 @@ else
     echo "Not Support Os"
 fi
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
 python3 ../../igie_common/export_mmcls.py --cfg mmpretrain/configs/resnet/resnetv1d50_b32x8_imagenet.py --weight resnetv1d50_b32x8_imagenet_20210531-db14775a.pth --output resnetv1d50.onnx
\ No newline at end of file
diff --git a/models/cv/classification/resnetv1d50/ixrt/README.md b/models/cv/classification/resnetv1d50/ixrt/README.md
index c10e1e5344946c9d32bbc8814e5db4dd72d4bb6e..e5cd075eece36655a09fc4406e1e9215b540ccdc 100644
--- a/models/cv/classification/resnetv1d50/ixrt/README.md
+++ b/models/cv/classification/resnetv1d50/ixrt/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../ixrt_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0 ppq pycuda transformers==4.37.1 ninja
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0 ppq pycuda transformers==4.37.1 ninja onnx==1.18.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/resnetv1d50/ixrt/ci/prepare.sh b/models/cv/classification/resnetv1d50/ixrt/ci/prepare.sh
index 9992a131bcf51737850e03a9698bffd9bd170a5a..139add4c4b42c1b9cfb93b8d941f4f1b09849011 100644
--- a/models/cv/classification/resnetv1d50/ixrt/ci/prepare.sh
+++ b/models/cv/classification/resnetv1d50/ixrt/ci/prepare.sh
@@ -26,7 +26,7 @@ else
 fi
 
 pip install -r ../../ixrt_common/requirements.txt
-pip install mmcv==1.5.3 mmcls==0.24.0 ppq pycuda transformers==4.37.1 ninja
+pip install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0 ppq pycuda transformers==4.37.1 ninja onnx==1.18.0
 unzip -q /root/data/repos/mmpretrain-0.24.0.zip -d ./
 mkdir checkpoints
 python3 ../../ixrt_common/export_mmcls.py --cfg mmpretrain/configs/resnet/resnetv1d50_b32x8_imagenet.py --weight resnetv1d50_b32x8_imagenet_20210531-db14775a.pth --output checkpoints/resnet_v1_d50.onnx
\ No newline at end of file
diff --git a/models/cv/classification/seresnet50/igie/README.md b/models/cv/classification/seresnet50/igie/README.md
index 46b63f84da6c8107b81ed1e1547e2a907cc22f8e..539571d74e88dc60358e0736bf9bdb06809087a0 100644
--- a/models/cv/classification/seresnet50/igie/README.md
+++ b/models/cv/classification/seresnet50/igie/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/seresnet50/igie/ci/prepare.sh b/models/cv/classification/seresnet50/igie/ci/prepare.sh
index ab17cf7ee88fe60e3e81f773981cb8fd7313f105..b170e5ed1225f9e5e437dceb54194087dc3f24d4 100644
--- a/models/cv/classification/seresnet50/igie/ci/prepare.sh
+++ b/models/cv/classification/seresnet50/igie/ci/prepare.sh
@@ -25,6 +25,6 @@ else
     echo "Not Support Os"
 fi
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
 python3 ../../igie_common/export_mmcls.py --cfg mmpretrain/configs/seresnet/seresnet50_8xb32_in1k.py --weight se-resnet50_batch256_imagenet_20200804-ae206104.pth --output seresnet50.onnx
\ No newline at end of file
diff --git a/models/cv/classification/shufflenet_v1/ixrt/README.md b/models/cv/classification/shufflenet_v1/ixrt/README.md
index 11caf110dcc83a692a9ddd614b15e6eee757a013..3d9654fef4cfffddeea2236cf760481755bf2d41 100644
--- a/models/cv/classification/shufflenet_v1/ixrt/README.md
+++ b/models/cv/classification/shufflenet_v1/ixrt/README.md
@@ -30,7 +30,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../ixrt_common/requirements.txt
-pip3 install mmcls==0.24.0 mmcv==1.5.3
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/shufflenet_v1/ixrt/ci/prepare.sh b/models/cv/classification/shufflenet_v1/ixrt/ci/prepare.sh
index 88ceb967536d2c7a976315063783e3bf3041bc9c..7c21599abbd30f6ee076ede4dc673e3ef902c0f1 100644
--- a/models/cv/classification/shufflenet_v1/ixrt/ci/prepare.sh
+++ b/models/cv/classification/shufflenet_v1/ixrt/ci/prepare.sh
@@ -26,7 +26,7 @@ else
 fi
 
 pip install -r ../../ixrt_common/requirements.txt
-pip3 install mmcls==0.24.0 mmcv==1.5.3
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 mkdir -p checkpoints
 unzip -q /root/data/repos/mmpretrain-0.24.0.zip -d ./
 python3 ../../ixrt_common/export_mmcls.py   \
diff --git a/models/cv/classification/svt_base/igie/README.md b/models/cv/classification/svt_base/igie/README.md
index a71bf6450ad09ae78b6a481e78aec552b085c275..b529a418fd5fa990503d71ebc7a0dc8e21070de5 100644
--- a/models/cv/classification/svt_base/igie/README.md
+++ b/models/cv/classification/svt_base/igie/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/svt_base/igie/ci/prepare.sh b/models/cv/classification/svt_base/igie/ci/prepare.sh
index 29ab6743ac6e52a176d2def57384181cc9bbb0ab..4a5358362546f640344f83929ccda3979c51ed30 100644
--- a/models/cv/classification/svt_base/igie/ci/prepare.sh
+++ b/models/cv/classification/svt_base/igie/ci/prepare.sh
@@ -26,7 +26,7 @@ else
 fi
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
 # export onnx model
 python3 ../../igie_common/export_mmcls.py --cfg mmpretrain/configs/twins/twins-svt-base_8xb128_in1k.py --weight twins-svt-base_3rdparty_8xb128_in1k_20220126-e31cc8e9.pth --output svt_base.onnx
diff --git a/models/cv/classification/twins_pcpvt/igie/README.md b/models/cv/classification/twins_pcpvt/igie/README.md
index 078afa10b788248ea1bba44a19762a14695a3eba..b6919fc047e23eeea9bf9705c24fd28532096615 100644
--- a/models/cv/classification/twins_pcpvt/igie/README.md
+++ b/models/cv/classification/twins_pcpvt/igie/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/twins_pcpvt/igie/ci/prepare.sh b/models/cv/classification/twins_pcpvt/igie/ci/prepare.sh
index 7687074bf5328f18832271562a7a4fe878f456ef..f7e0a007a340eeddde86e9be9aad972a2068da1b 100644
--- a/models/cv/classification/twins_pcpvt/igie/ci/prepare.sh
+++ b/models/cv/classification/twins_pcpvt/igie/ci/prepare.sh
@@ -25,7 +25,7 @@ else
     echo "Not Support Os"
 fi
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
 # export onnx model
 python3 ../../igie_common/export_mmcls.py --cfg mmpretrain/configs/twins/twins-pcpvt-small_8xb128_in1k.py --weight twins-pcpvt-small_3rdparty_8xb128_in1k_20220126-ef23c132.pth --output twins_pcpvt_small.onnx
diff --git a/models/cv/classification/van_b0/igie/README.md b/models/cv/classification/van_b0/igie/README.md
index ae92b6e8eaf940edb8d508dead93ac918cdfc1b4..c1a06ed97ec5ea886083bf630b7ad740d162c325 100644
--- a/models/cv/classification/van_b0/igie/README.md
+++ b/models/cv/classification/van_b0/igie/README.md
@@ -29,7 +29,7 @@ yum install -y mesa-libGL
 apt install -y libgl1-mesa-glx
 
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 ```
 
 ### Model Conversion
diff --git a/models/cv/classification/van_b0/igie/ci/prepare.sh b/models/cv/classification/van_b0/igie/ci/prepare.sh
index 852cb1eb769e0e6333822c7a200a9f822a110902..3ec6259d9304860ff3e7b50849f312286ebc7417 100644
--- a/models/cv/classification/van_b0/igie/ci/prepare.sh
+++ b/models/cv/classification/van_b0/igie/ci/prepare.sh
@@ -25,7 +25,7 @@ else
     echo "Not Support Os"
 fi
 pip3 install -r ../../igie_common/requirements.txt
-pip3 install mmcv==1.5.3 mmcls==0.24.0
+pip3 install --no-build-isolation mmcv==1.5.3 mmcls==0.24.0
 unzip -q /mnt/deepspark/data/repos/mmpretrain-0.24.0.zip -d ./
 # export onnx model
 python3 ../../igie_common/export_mmcls.py --cfg mmpretrain/configs/van/van-b0_8xb128_in1k.py --weight van-tiny_8xb128_in1k_20220501-385941af.pth --output van_b0.onnx
\ No newline at end of file
diff --git a/models/cv/object_detection/yolof/ixrt/requirements.txt b/models/cv/object_detection/yolof/ixrt/requirements.txt
index b253d29ba96c797f0a8e27620122a2c3ce91cea1..288077fb1d81ed3ad3297d52dd7ace1dfeb7ce71 100644
--- a/models/cv/object_detection/yolof/ixrt/requirements.txt
+++ b/models/cv/object_detection/yolof/ixrt/requirements.txt
@@ -4,5 +4,5 @@ onnxsim
 mmdet==3.3.0
 mmdeploy==1.3.1
 mmengine
-shapel
+shapely
 aenum
\ No newline at end of file
diff --git a/models/cv/object_detection/yolov6s/igie/README.md b/models/cv/object_detection/yolov6s/igie/README.md
index 644c16ebc960dae19913826151a5bcc49e168af6..adcbc811687b237c109ff72d88b2bd3f30774bc6 100644
--- a/models/cv/object_detection/yolov6s/igie/README.md
+++ b/models/cv/object_detection/yolov6s/igie/README.md
@@ -68,6 +68,8 @@ wget https://github.com/meituan/YOLOv6/releases/download/0.4.0/yolov6s.pt
 git clone https://github.com/meituan/YOLOv6.git
 cd YOLOv6
 pip3 install -r requirements.txt
+# set weights_only=False to be comaptible with pytorch 2.7
+sed -i '25 s/map_location)/map_location, weights_only=False)/' yolov6/utils/checkpoint.py
 
 # export onnx model
 python3 deploy/ONNX/export_onnx.py --weights ../yolov6s.pt --img 640 --dynamic-batch --simplify
diff --git a/models/cv/object_detection/yolov6s/igie/ci/prepare.sh b/models/cv/object_detection/yolov6s/igie/ci/prepare.sh
index 0c9025eb74dac3171ef4bf685134ff049d81d353..810fc31351835a589f8dc01098626c5ef9aa6232 100644
--- a/models/cv/object_detection/yolov6s/igie/ci/prepare.sh
+++ b/models/cv/object_detection/yolov6s/igie/ci/prepare.sh
@@ -38,5 +38,8 @@ cd $TARGET_DIR
 sed -i 's/numpy>=1.24.0/numpy==1.24.4/g' requirements.txt
 pip3 install -r requirements.txt
 
+# set weights_only=False to be comaptible with pytorch 2.7
+sed -i '25 s/map_location)/map_location, weights_only=False)/' yolov6/utils/checkpoint.py
+
 # export onnx model
 python3 deploy/ONNX/export_onnx.py --weights ../yolov6s.pt --img 640 --dynamic-batch --simplify
diff --git a/models/cv/object_detection/yolov6s/ixrt/README.md b/models/cv/object_detection/yolov6s/ixrt/README.md
index d934e8fe078dbe284880a4c0b0a342d93e71ceb8..0d78d6711f45783a3974a6cd4c83a0ccf9392c37 100644
--- a/models/cv/object_detection/yolov6s/ixrt/README.md
+++ b/models/cv/object_detection/yolov6s/ixrt/README.md
@@ -72,7 +72,8 @@ git clone https://github.com/meituan/YOLOv6.git
 
 pushd YOLOv6
 pip3 install -r requirements.txt
-
+# set weights_only=False to be comaptible with pytorch 2.7
+sed -i '25 s/map_location)/map_location, weights_only=False)/' yolov6/utils/checkpoint.py
 # export onnx model
 python3 deploy/ONNX/export_onnx.py --weights ../yolov6s.pt --img 640 --batch-size 32 --simplify
 mv ../yolov6s.onnx ../data/
diff --git a/models/cv/object_detection/yolov6s/ixrt/ci/prepare.sh b/models/cv/object_detection/yolov6s/ixrt/ci/prepare.sh
index cbeabe5ec89034775937015d407fa187e8bbe695..2846669ab63caf6b7804511aafb4059f01dd2e8d 100644
--- a/models/cv/object_detection/yolov6s/ixrt/ci/prepare.sh
+++ b/models/cv/object_detection/yolov6s/ixrt/ci/prepare.sh
@@ -22,6 +22,8 @@ cp -r /root/data/3rd_party/YOLOv6 ./
 
 cd YOLOv6
 pip3 install -r requirements.txt
+# set weights_only=False to be comaptible with pytorch 2.7
+sed -i '25 s/map_location)/map_location, weights_only=False)/' yolov6/utils/checkpoint.py
 
 ln -s /root/data/checkpoints/yolov6s.pt ./
 # export onnx model
diff --git a/models/cv/object_detection/yolov8s/igie/README.md b/models/cv/object_detection/yolov8s/igie/README.md
index ea22e4c26ea9f1eec8d9e2df6ac3f1ab8617e688..08bdedc1fb30b2d9a855fe9d1ad1dae6ee7d43eb 100644
--- a/models/cv/object_detection/yolov8s/igie/README.md
+++ b/models/cv/object_detection/yolov8s/igie/README.md
@@ -64,6 +64,9 @@ pip3 install -r requirements.txt
 # download the weight from the recommend link
 wget https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8s.pt
 
+# set weights_only=False to be comaptible with pytorch 2.7 
+sed -i '716 s/\"cpu\")/\"cpu\", weights_only=False)/' /usr/local/lib/python3.10/site-packages/ultralytics/nn/tasks.py
+
 python3 export.py --weight yolov8s.pt --batch 32
 ```
 
diff --git a/models/cv/object_detection/yolov8s/igie/ci/prepare.sh b/models/cv/object_detection/yolov8s/igie/ci/prepare.sh
index d88d874fadbed070d6240efcc0bd13c6c0a7ac4e..3bbbbf025533d89f852a68f41d71ac8e3ba6a448 100644
--- a/models/cv/object_detection/yolov8s/igie/ci/prepare.sh
+++ b/models/cv/object_detection/yolov8s/igie/ci/prepare.sh
@@ -26,5 +26,6 @@ else
 fi
 
 pip3 install -r requirements.txt
-
+# set weights_only=False to be comaptible with pytorch 2.7 
+sed -i '716 s/\"cpu\")/\"cpu\", weights_only=False)/' /usr/local/lib/python3.10/site-packages/ultralytics/nn/tasks.py
 python3 export.py --weight yolov8s.pt --batch 32
diff --git a/models/cv/object_detection/yolov9s/igie/README.md b/models/cv/object_detection/yolov9s/igie/README.md
index c192f44521c6d1a895187f89e854b48182d35eb9..43cd1db2eef2ec8b00de3dfccb1c1a7534a380f8 100644
--- a/models/cv/object_detection/yolov9s/igie/README.md
+++ b/models/cv/object_detection/yolov9s/igie/README.md
@@ -58,6 +58,9 @@ pip3 install -r requirements.txt
 # download the weight from the recommend link
 wget https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov9s.pt
 
+# set weights_only=False to be comaptible with pytorch 2.7
+sed -i '781 s/map_location=\"cpu\")/map_location=\"cpu\", weights_only=False)/' /usr/local/lib/python3.10/site-packages/ultralytics/nn/tasks.py
+
 python3 export.py --weight yolov9s.pt --batch 32
 ```
 
diff --git a/models/cv/object_detection/yolov9s/igie/ci/prepare.sh b/models/cv/object_detection/yolov9s/igie/ci/prepare.sh
index 83ac59341239d0cad8113d363b46632aab574fcc..4f83039a7a32c17b06fb5aabcf652aabf74101eb 100644
--- a/models/cv/object_detection/yolov9s/igie/ci/prepare.sh
+++ b/models/cv/object_detection/yolov9s/igie/ci/prepare.sh
@@ -27,4 +27,7 @@ fi
 
 pip3 install -r requirements.txt
 
+# set weights_only=False to be comaptible with pytorch 2.7
+sed -i '781 s/map_location=\"cpu\")/map_location=\"cpu\", weights_only=False)/' /usr/local/lib/python3.10/site-packages/ultralytics/nn/tasks.py
+
 python3 export.py --weight yolov9s.pt --batch 32
diff --git a/models/cv/object_detection/yolov9s/ixrt/README.md b/models/cv/object_detection/yolov9s/ixrt/README.md
index ce02005a15f314f81248489f8dcf8d32198528fb..5859369057073e26ab35601891dfb78041bd2e19 100644
--- a/models/cv/object_detection/yolov9s/ixrt/README.md
+++ b/models/cv/object_detection/yolov9s/ixrt/README.md
@@ -60,6 +60,10 @@ wget https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov9s.pt
 
 mkdir -p checkpoints/
 mv yolov9s.pt yolov9.pt
+
+# set weights_only=False to be comaptible with pytorch 2.7
+sed -i '781 s/map_location=\"cpu\")/map_location=\"cpu\", weights_only=False)/' /usr/local/lib/python3.10/site-packages/ultralytics/nn/tasks.py
+
 python3 export.py --weight yolov9.pt --batch 32
 onnxsim yolov9.onnx ./checkpoints/yolov9.onnx
 ```
diff --git a/models/cv/object_detection/yolov9s/ixrt/ci/prepare.sh b/models/cv/object_detection/yolov9s/ixrt/ci/prepare.sh
index 6f77f11599cf05427f4e16ccdd36fb3b9242ac0c..81a206cc8890510cf179ac3b8feb8fb5f8cd953b 100644
--- a/models/cv/object_detection/yolov9s/ixrt/ci/prepare.sh
+++ b/models/cv/object_detection/yolov9s/ixrt/ci/prepare.sh
@@ -20,5 +20,9 @@ pip3 install -r requirements.txt
 
 mkdir -p checkpoints/
 mv yolov9s.pt yolov9.pt
+
+# set weights_only=False to be comaptible with pytorch 2.7
+sed -i '781 s/map_location=\"cpu\")/map_location=\"cpu\", weights_only=False)/' /usr/local/lib/python3.10/site-packages/ultralytics/nn/tasks.py
+
 python3 export.py --weight yolov9.pt --batch 32
 onnxsim yolov9.onnx ./checkpoints/yolov9.onnx
\ No newline at end of file
diff --git a/models/cv/ocr/svtr/igie/requirements.txt b/models/cv/ocr/svtr/igie/requirements.txt
index 73a1e005ca06958ad305ac91e77ea1938a152de8..617d6da7f30292d860a64cf101f20be13f429efb 100644
--- a/models/cv/ocr/svtr/igie/requirements.txt
+++ b/models/cv/ocr/svtr/igie/requirements.txt
@@ -1,5 +1,5 @@
 tqdm
-onnx==1.18.0
+onnx
 onnxsim
 numpy==1.24.0
 Polygon3
diff --git a/models/cv/pose_estimation/hrnetpose/igie/requirements.txt b/models/cv/pose_estimation/hrnetpose/igie/requirements.txt
index ac18f54f88a9631cebeddbf5f26acfcf62ea8264..b6b3fff4aa66c7401a67b2874e40c3caf154a34d 100644
--- a/models/cv/pose_estimation/hrnetpose/igie/requirements.txt
+++ b/models/cv/pose_estimation/hrnetpose/igie/requirements.txt
@@ -1,4 +1,4 @@
-onnx==1.18.0
+onnx
 tqdm
 onnxsim
 mmdet==3.3.0
diff --git a/models/cv/pose_estimation/lightweight_openpose/ixrt/README.md b/models/cv/pose_estimation/lightweight_openpose/ixrt/README.md
index 56e83dff6e30bbd37017dc900d55799cca0b2f94..0b80737dbda7602b20ef993c0a17e942695a47ed 100644
--- a/models/cv/pose_estimation/lightweight_openpose/ixrt/README.md
+++ b/models/cv/pose_estimation/lightweight_openpose/ixrt/README.md
@@ -59,6 +59,7 @@ coco
 ### Install Dependencies
 
 ```bash
+pip3 install --no-build-isolation mmcv==1.5.3
 pip3 install -r requirements.txt
 ```
 
diff --git a/models/cv/pose_estimation/lightweight_openpose/ixrt/ci/prepare.sh b/models/cv/pose_estimation/lightweight_openpose/ixrt/ci/prepare.sh
index b7c493f5ddbe3b224e94c76951a127ddef100d63..3480c652bdcca5619a11ffb94ca36f06ff675f6b 100644
--- a/models/cv/pose_estimation/lightweight_openpose/ixrt/ci/prepare.sh
+++ b/models/cv/pose_estimation/lightweight_openpose/ixrt/ci/prepare.sh
@@ -25,6 +25,7 @@ else
     echo "Not Support Os"
 fi
 
+pip3 install --no-build-isolation mmcv==1.5.3
 pip install -r requirements.txt
 
 cp -r /root/data/3rd_party/lightweight-human-pose-estimation.pytorch ./
diff --git a/models/cv/pose_estimation/lightweight_openpose/ixrt/requirements.txt b/models/cv/pose_estimation/lightweight_openpose/ixrt/requirements.txt
index e8dd6049b10d99879552b79fe0da4852e3f6f1cf..b263c4ba8e42bd61a5547702b29441ad56556520 100644
--- a/models/cv/pose_estimation/lightweight_openpose/ixrt/requirements.txt
+++ b/models/cv/pose_estimation/lightweight_openpose/ixrt/requirements.txt
@@ -3,5 +3,4 @@ tqdm
 onnxsim
 simplejson
 opencv-python==4.6.0.66
-mmcv==1.5.3
 pycocotools
\ No newline at end of file
diff --git a/models/cv/pose_estimation/rtmpose/igie/README.md b/models/cv/pose_estimation/rtmpose/igie/README.md
index 5cadf5c93e40479a20d9ccd9134fc4e05e5f1543..632f1ae3429a1904fe4e6b4e2f79940555f8e2ef 100644
--- a/models/cv/pose_estimation/rtmpose/igie/README.md
+++ b/models/cv/pose_estimation/rtmpose/igie/README.md
@@ -75,6 +75,9 @@ pip install -r requirements.txt
 ### Model Conversion
 
 ```bash
+# set weights_only=False to be comaptible with pytorch 2.7
+sed -i '347 s/map_location)/map_location, weights_only=False)/' /usr/local/lib/python3.10/site-packages/mmengine/runner/checkpoint.py
+
 # export onnx model
 python3 export.py --weight rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth --cfg rtmpose-m_8xb256-420e_coco-256x192.py --output rtmpose.onnx
 
diff --git a/models/cv/pose_estimation/rtmpose/igie/ci/prepare.sh b/models/cv/pose_estimation/rtmpose/igie/ci/prepare.sh
index 3c74c14799ed314788a8c31b29c040508fcf978b..388837c3f9f01f927e77b88c1b4b242341d47276 100644
--- a/models/cv/pose_estimation/rtmpose/igie/ci/prepare.sh
+++ b/models/cv/pose_estimation/rtmpose/igie/ci/prepare.sh
@@ -31,6 +31,9 @@ pip install mmpose==1.3.1
 pip install --upgrade pip
 pip install -r requirements.txt
 
+# set weights_only=False to be comaptible with pytorch 2.7
+sed -i '347 s/map_location)/map_location, weights_only=False)/' /usr/local/lib/python3.10/site-packages/mmengine/runner/checkpoint.py
+
 # export onnx model
 python3 export.py --weight rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth --cfg rtmpose-m_8xb256-420e_coco-256x192.py --output rtmpose.onnx
 
diff --git a/models/cv/pose_estimation/rtmpose/ixrt/README.md b/models/cv/pose_estimation/rtmpose/ixrt/README.md
index 3e66c52ec4d91e11a786a1d4cfbc38671b74b2e2..41addb81d8d0047bd4490ba398c8830737977b1b 100644
--- a/models/cv/pose_estimation/rtmpose/ixrt/README.md
+++ b/models/cv/pose_estimation/rtmpose/ixrt/README.md
@@ -77,6 +77,9 @@ mkdir -p data/rtmpose
 
 wget -P data/rtmpose/ https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth
 
+# set weights_only=False to be comaptible with pytorch 2.7
+sed -i '347 s/map_location)/map_location, weights_only=False)/' /usr/local/lib/python3.10/site-packages/mmengine/runner/checkpoint.py
+
 python3 export.py --weight data/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth --cfg rtmpose-m_8xb256-420e_coco-256x192.py --input 1,3,256,192  --output data/rtmpose/rtmpose.onnx
 
 # use onnxsim optimize onnx model
diff --git a/models/cv/pose_estimation/rtmpose/ixrt/ci/prepare.sh b/models/cv/pose_estimation/rtmpose/ixrt/ci/prepare.sh
index cfe4f7533a02a0f630b77a5379c74fd2c5333431..c42d255f5cf87ca53b2596a7a0b03893d8e89a05 100644
--- a/models/cv/pose_estimation/rtmpose/ixrt/ci/prepare.sh
+++ b/models/cv/pose_estimation/rtmpose/ixrt/ci/prepare.sh
@@ -34,6 +34,9 @@ pip install -r requirements.txt
 mkdir -p data/rtmpose
 ln -s /root/data/checkpoints/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth data/rtmpose/
 
+# set weights_only=False to be comaptible with pytorch 2.7
+sed -i '347 s/map_location)/map_location, weights_only=False)/' /usr/local/lib/python3.10/site-packages/mmengine/runner/checkpoint.py
+
 python3 export.py --weight data/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth --cfg rtmpose-m_8xb256-420e_coco-256x192.py --input 1,3,256,192  --output data/rtmpose/rtmpose.onnx
 
 # use onnxsim optimize onnx model
diff --git a/models/cv/semantic_segmentation/unet/igie/requirements.txt b/models/cv/semantic_segmentation/unet/igie/requirements.txt
index e40c27c32f83e2e8a083dcca131e0cee3cab2d69..4a693e04670722d71c6ae4b0a4bfeb0137f8fc52 100644
--- a/models/cv/semantic_segmentation/unet/igie/requirements.txt
+++ b/models/cv/semantic_segmentation/unet/igie/requirements.txt
@@ -1,4 +1,4 @@
-onnx==1.18.0
+onnx
 tqdm
 onnxsim
 mmsegmentation==1.2.2
diff --git a/models/cv/semantic_segmentation/unet/ixrt/README.md b/models/cv/semantic_segmentation/unet/ixrt/README.md
index 87333eda3905a5d16c90e3d3c577b42c6aa6a147..ccab98363c762beb86263d1820ed6215bc2996d3 100644
--- a/models/cv/semantic_segmentation/unet/ixrt/README.md
+++ b/models/cv/semantic_segmentation/unet/ixrt/README.md
@@ -24,7 +24,7 @@ Dataset: <https://drive.grand-challenge.org/> to download the dataset.
 pip3 install onnxsim
 pip3 install opencv-python==4.6.0.66
 pip3 uninstall mmcv-full mmcv -y
-pip3 install mmcv==1.5.3
+pip3 install --no-build-isolation mmcv==1.5.3
 pip3 install prettytable
 pip3 install onnx
 ```
@@ -39,7 +39,7 @@ python3 deploy.py  \
     --save_dir checkpoints/ \
     --data_type float16 "$@"
 
-mkdir -p datasets
+cd ../../../../../data/datasets/
 # download DRIVE into datasets
 ```
 
diff --git a/models/cv/semantic_segmentation/unet/ixrt/ci/prepare.sh b/models/cv/semantic_segmentation/unet/ixrt/ci/prepare.sh
index 7d2f10bc3037703c18556a67c83e09f7a05c08eb..ea058519d4786d00016d52296ef0c7b15997a39d 100644
--- a/models/cv/semantic_segmentation/unet/ixrt/ci/prepare.sh
+++ b/models/cv/semantic_segmentation/unet/ixrt/ci/prepare.sh
@@ -19,7 +19,7 @@ set -x
 pip3 install onnxsim
 pip3 install opencv-python==4.6.0.66
 pip3 uninstall mmcv-full mmcv -y
-pip3 install mmcv==1.5.3
+pip3 install --no-build-isolation mmcv==1.5.3
 pip3 install prettytable
 pip3 install onnx
 
@@ -29,4 +29,4 @@ ln -s /root/data/checkpoints/unet_export.onnx checkpoints/
 python3 deploy.py --onnx_name checkpoints/unet_export.onnx --save_dir checkpoints/ --data_type float16 "$@"
 
 mkdir -p datasets
-ln -s /root/data/datasets/DRIVE datasets/
\ No newline at end of file
+ln -s /root/data/datasets/DRIVE ../../../../../data/datasets/
\ No newline at end of file
diff --git a/models/cv/semantic_segmentation/unet/ixrt/configs/unet_datasets_cfg.py b/models/cv/semantic_segmentation/unet/ixrt/configs/unet_datasets_cfg.py
index 9fb8937800c3730eabe05092259c67f1d3ec95cb..334fca08bc10fc480015084dee6ed045e9495b2d 100644
--- a/models/cv/semantic_segmentation/unet/ixrt/configs/unet_datasets_cfg.py
+++ b/models/cv/semantic_segmentation/unet/ixrt/configs/unet_datasets_cfg.py
@@ -52,7 +52,7 @@ model = dict(
 
 
 dataset_type = 'DRIVEDataset'
-data_root = "datasets/DRIVE"
+data_root = '{{fileDirname}}/../../../../../../data/datasets/DRIVE'
 img_norm_cfg = dict(
     mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
 img_scale = (584, 565)
diff --git a/models/multimodal/vision_language_model/xlmroberta/vllm/offline_inference_embedding.py b/models/multimodal/vision_language_model/xlmroberta/vllm/offline_inference_embedding.py
index 36db84212c34346c491b8bd4994636e85f1f7d8b..2f2da7a2bcbe9f073ed3088a13007db39fc06fa8 100644
--- a/models/multimodal/vision_language_model/xlmroberta/vllm/offline_inference_embedding.py
+++ b/models/multimodal/vision_language_model/xlmroberta/vllm/offline_inference_embedding.py
@@ -35,7 +35,7 @@ def main(args: Namespace):
     num_tokens = 0
     start_time = time.perf_counter()
     # Generate embedding. The output is a list of EmbeddingRequestOutputs.
-    outputs = llm.encode(prompts)
+    outputs = llm.embed(prompts)
     end_time = time.perf_counter()
     duration_time = end_time - start_time
 
diff --git a/models/nlp/llm/baichuan2-7b/vllm/offline_inference.py b/models/nlp/llm/baichuan2-7b/vllm/offline_inference.py
index 6ff276cda138d2671cbbab918c35fda5960a88d2..27aea6f58080cdb4e0f7cd11ea6a874c8d64e8ad 100644
--- a/models/nlp/llm/baichuan2-7b/vllm/offline_inference.py
+++ b/models/nlp/llm/baichuan2-7b/vllm/offline_inference.py
@@ -1,10 +1,21 @@
 import sys
 from pathlib import Path
 import os
+import argparse as _argparse
+import dataclasses
+
+# ====== PATCH: 兼容旧版 argparse 不支持 'deprecated' ======
+_original_add_argument = _argparse._ArgumentGroup.add_argument
+
+def _patched_add_argument(self, *args, **kwargs):
+    kwargs.pop('deprecated', None)
+    return _original_add_argument(self, *args, **kwargs)
+
+_argparse._ArgumentGroup.add_argument = _patched_add_argument
+# =========================================================
 
 sys.path.append(str(Path(__file__).resolve().parent.parent.parent))
 import argparse
-import dataclasses
 import inspect
 import logging
 import time
@@ -26,14 +37,16 @@ if __name__ == "__main__":
     parser = sampling_add_cli_args(parser)
     args = parser.parse_args()
 
-    engine_args = [attr.name for attr in dataclasses.fields(EngineArgs)]
+    engine_args = EngineArgs.from_cli_args(args)
+    engine_params = dataclasses.asdict(engine_args)
+
     sampling_args = [
         param.name
         for param in list(
             inspect.signature(SamplingParams).parameters.values()
         )
     ]
-    engine_params = {attr: getattr(args, attr) for attr in engine_args}
+
     sampling_params = {
         attr: getattr(args, attr) for attr in sampling_args if args.__contains__(attr)
     }
diff --git a/models/nlp/llm/chatglm3-6b-32k/vllm/offline_inference.py b/models/nlp/llm/chatglm3-6b-32k/vllm/offline_inference.py
index 8672cdbd7e6686735be8de59250338f98d4b9a4a..27aea6f58080cdb4e0f7cd11ea6a874c8d64e8ad 100644
--- a/models/nlp/llm/chatglm3-6b-32k/vllm/offline_inference.py
+++ b/models/nlp/llm/chatglm3-6b-32k/vllm/offline_inference.py
@@ -1,10 +1,21 @@
 import sys
 from pathlib import Path
 import os
+import argparse as _argparse
+import dataclasses
+
+# ====== PATCH: 兼容旧版 argparse 不支持 'deprecated' ======
+_original_add_argument = _argparse._ArgumentGroup.add_argument
+
+def _patched_add_argument(self, *args, **kwargs):
+    kwargs.pop('deprecated', None)
+    return _original_add_argument(self, *args, **kwargs)
+
+_argparse._ArgumentGroup.add_argument = _patched_add_argument
+# =========================================================
 
 sys.path.append(str(Path(__file__).resolve().parent.parent.parent))
 import argparse
-import dataclasses
 import inspect
 import logging
 import time
@@ -26,14 +37,16 @@ if __name__ == "__main__":
     parser = sampling_add_cli_args(parser)
     args = parser.parse_args()
 
-    engine_args = [attr.name for attr in dataclasses.fields(EngineArgs)]
+    engine_args = EngineArgs.from_cli_args(args)
+    engine_params = dataclasses.asdict(engine_args)
+
     sampling_args = [
         param.name
         for param in list(
             inspect.signature(SamplingParams).parameters.values()
         )
     ]
-    engine_params = {attr: getattr(args, attr) for attr in engine_args}
+
     sampling_params = {
         attr: getattr(args, attr) for attr in sampling_args if args.__contains__(attr)
     }
@@ -62,20 +75,24 @@ if __name__ == "__main__":
         logging.warning(
             "If you are using a non chat model, please pass the --remove_chat_template in CLI."
         )
-        logging.warning(
-            "For now, openai api chat interface(v1/chat/completions) need you provide a chat template to process prompt(str) for better results. "
-            "Otherwise, you have to use the default chat template, which may lead to bad answers. But, the process of building chat input is complex "
-            "for some models and the rule of process can not be written as a jinja file. Fortunately, the v1/completions interface support List[int] "
-            "params. This means you can process the prompt firstly, then send the List[int] to v1/completions and consider it as v1/chat/completions "
-            "to use when you use openai api."
-        )
-        tokenizer = llm.get_tokenizer()
-        prompts_new = []
-        for prompt in prompts:
-            input_idx = (
-                tokenizer.build_chat_input(prompt)["input_ids"][0].cpu().tolist()
+        # Try use transformers's apply_chat_template, if chat_template is None, will use defalut template.
+        # For some old models, the default template may cause bad answers. we don't consider this situation,
+        # because the Transformers team is advancing the chat template. For more informatino about it,
+        # please refer to https://huggingface.co/docs/transformers/main/chat_templating
+        try:
+            load_chat_template(llm.get_tokenizer(), args.chat_template)
+            prompts_new = []
+            for prompt in prompts:
+                messages = [{"role": "user", "content": prompt}]
+                text = llm.get_tokenizer().apply_chat_template(
+                    messages, tokenize=False, add_generation_prompt=True
+                )
+                prompts_new.append(text)
+        except:
+            logging.warning(
+                "use tokenizer apply_chat_template function failed, may because of low transformers version...(try use transformers>=4.34.0)"
             )
-            prompts_new.append(input_idx)
+            prompts_new = prompts
 
     # Generate texts from the prompts. The output is a list of RequestOutput objects
     # that contain the prompt, generated text, and other information.
@@ -108,7 +125,6 @@ if __name__ == "__main__":
 
         num_tokens += len(output.outputs[0].token_ids)
         print(f"Prompt: {prompt}\nGenerated text: {generated_text} \n")
-
     num_requests = len(prompts_new)  # 请求的数量
     qps = num_requests / duration_time
     print(f"requests: {num_requests}, QPS: {qps}, tokens: {num_tokens}, Token/s: {num_tokens/duration_time}")
diff --git a/models/nlp/llm/chatglm3-6b/vllm/offline_inference.py b/models/nlp/llm/chatglm3-6b/vllm/offline_inference.py
index 3d8e5067cc9966ffb6941b4920ca377fba9531a0..27aea6f58080cdb4e0f7cd11ea6a874c8d64e8ad 100644
--- a/models/nlp/llm/chatglm3-6b/vllm/offline_inference.py
+++ b/models/nlp/llm/chatglm3-6b/vllm/offline_inference.py
@@ -1,10 +1,21 @@
 import sys
 from pathlib import Path
 import os
+import argparse as _argparse
+import dataclasses
+
+# ====== PATCH: 兼容旧版 argparse 不支持 'deprecated' ======
+_original_add_argument = _argparse._ArgumentGroup.add_argument
+
+def _patched_add_argument(self, *args, **kwargs):
+    kwargs.pop('deprecated', None)
+    return _original_add_argument(self, *args, **kwargs)
+
+_argparse._ArgumentGroup.add_argument = _patched_add_argument
+# =========================================================
 
 sys.path.append(str(Path(__file__).resolve().parent.parent.parent))
 import argparse
-import dataclasses
 import inspect
 import logging
 import time
@@ -26,14 +37,16 @@ if __name__ == "__main__":
     parser = sampling_add_cli_args(parser)
     args = parser.parse_args()
 
-    engine_args = [attr.name for attr in dataclasses.fields(EngineArgs)]
+    engine_args = EngineArgs.from_cli_args(args)
+    engine_params = dataclasses.asdict(engine_args)
+
     sampling_args = [
         param.name
         for param in list(
             inspect.signature(SamplingParams).parameters.values()
         )
     ]
-    engine_params = {attr: getattr(args, attr) for attr in engine_args}
+
     sampling_params = {
         attr: getattr(args, attr) for attr in sampling_args if args.__contains__(attr)
     }
@@ -62,20 +75,24 @@ if __name__ == "__main__":
         logging.warning(
             "If you are using a non chat model, please pass the --remove_chat_template in CLI."
         )
-        logging.warning(
-            "For now, openai api chat interface(v1/chat/completions) need you provide a chat template to process prompt(str) for better results. "
-            "Otherwise, you have to use the default chat template, which may lead to bad answers. But, the process of building chat input is complex "
-            "for some models and the rule of process can not be written as a jinja file. Fortunately, the v1/completions interface support List[int] "
-            "params. This means you can process the prompt firstly, then send the List[int] to v1/completions and consider it as v1/chat/completions "
-            "to use when you use openai api."
-        )
-        tokenizer = llm.get_tokenizer()
-        prompts_new = []
-        for prompt in prompts:
-            input_idx = (
-                tokenizer.build_chat_input(prompt)["input_ids"][0].cpu().tolist()
+        # Try use transformers's apply_chat_template, if chat_template is None, will use defalut template.
+        # For some old models, the default template may cause bad answers. we don't consider this situation,
+        # because the Transformers team is advancing the chat template. For more informatino about it,
+        # please refer to https://huggingface.co/docs/transformers/main/chat_templating
+        try:
+            load_chat_template(llm.get_tokenizer(), args.chat_template)
+            prompts_new = []
+            for prompt in prompts:
+                messages = [{"role": "user", "content": prompt}]
+                text = llm.get_tokenizer().apply_chat_template(
+                    messages, tokenize=False, add_generation_prompt=True
+                )
+                prompts_new.append(text)
+        except:
+            logging.warning(
+                "use tokenizer apply_chat_template function failed, may because of low transformers version...(try use transformers>=4.34.0)"
             )
-            prompts_new.append(input_idx)
+            prompts_new = prompts
 
     # Generate texts from the prompts. The output is a list of RequestOutput objects
     # that contain the prompt, generated text, and other information.
diff --git a/models/nlp/llm/qwen1.5-14b/vllm/offline_inference.py b/models/nlp/llm/qwen1.5-14b/vllm/offline_inference.py
index 6ff276cda138d2671cbbab918c35fda5960a88d2..27aea6f58080cdb4e0f7cd11ea6a874c8d64e8ad 100644
--- a/models/nlp/llm/qwen1.5-14b/vllm/offline_inference.py
+++ b/models/nlp/llm/qwen1.5-14b/vllm/offline_inference.py
@@ -1,10 +1,21 @@
 import sys
 from pathlib import Path
 import os
+import argparse as _argparse
+import dataclasses
+
+# ====== PATCH: 兼容旧版 argparse 不支持 'deprecated' ======
+_original_add_argument = _argparse._ArgumentGroup.add_argument
+
+def _patched_add_argument(self, *args, **kwargs):
+    kwargs.pop('deprecated', None)
+    return _original_add_argument(self, *args, **kwargs)
+
+_argparse._ArgumentGroup.add_argument = _patched_add_argument
+# =========================================================
 
 sys.path.append(str(Path(__file__).resolve().parent.parent.parent))
 import argparse
-import dataclasses
 import inspect
 import logging
 import time
@@ -26,14 +37,16 @@ if __name__ == "__main__":
     parser = sampling_add_cli_args(parser)
     args = parser.parse_args()
 
-    engine_args = [attr.name for attr in dataclasses.fields(EngineArgs)]
+    engine_args = EngineArgs.from_cli_args(args)
+    engine_params = dataclasses.asdict(engine_args)
+
     sampling_args = [
         param.name
         for param in list(
             inspect.signature(SamplingParams).parameters.values()
         )
     ]
-    engine_params = {attr: getattr(args, attr) for attr in engine_args}
+
     sampling_params = {
         attr: getattr(args, attr) for attr in sampling_args if args.__contains__(attr)
     }
diff --git a/models/nlp/llm/qwen1.5-32b/vllm/offline_inference.py b/models/nlp/llm/qwen1.5-32b/vllm/offline_inference.py
index 6ff276cda138d2671cbbab918c35fda5960a88d2..27aea6f58080cdb4e0f7cd11ea6a874c8d64e8ad 100644
--- a/models/nlp/llm/qwen1.5-32b/vllm/offline_inference.py
+++ b/models/nlp/llm/qwen1.5-32b/vllm/offline_inference.py
@@ -1,10 +1,21 @@
 import sys
 from pathlib import Path
 import os
+import argparse as _argparse
+import dataclasses
+
+# ====== PATCH: 兼容旧版 argparse 不支持 'deprecated' ======
+_original_add_argument = _argparse._ArgumentGroup.add_argument
+
+def _patched_add_argument(self, *args, **kwargs):
+    kwargs.pop('deprecated', None)
+    return _original_add_argument(self, *args, **kwargs)
+
+_argparse._ArgumentGroup.add_argument = _patched_add_argument
+# =========================================================
 
 sys.path.append(str(Path(__file__).resolve().parent.parent.parent))
 import argparse
-import dataclasses
 import inspect
 import logging
 import time
@@ -26,14 +37,16 @@ if __name__ == "__main__":
     parser = sampling_add_cli_args(parser)
     args = parser.parse_args()
 
-    engine_args = [attr.name for attr in dataclasses.fields(EngineArgs)]
+    engine_args = EngineArgs.from_cli_args(args)
+    engine_params = dataclasses.asdict(engine_args)
+
     sampling_args = [
         param.name
         for param in list(
             inspect.signature(SamplingParams).parameters.values()
         )
     ]
-    engine_params = {attr: getattr(args, attr) for attr in engine_args}
+
     sampling_params = {
         attr: getattr(args, attr) for attr in sampling_args if args.__contains__(attr)
     }
diff --git a/models/nlp/llm/qwen1.5-7b/vllm/offline_inference.py b/models/nlp/llm/qwen1.5-7b/vllm/offline_inference.py
index 6ff276cda138d2671cbbab918c35fda5960a88d2..27aea6f58080cdb4e0f7cd11ea6a874c8d64e8ad 100644
--- a/models/nlp/llm/qwen1.5-7b/vllm/offline_inference.py
+++ b/models/nlp/llm/qwen1.5-7b/vllm/offline_inference.py
@@ -1,10 +1,21 @@
 import sys
 from pathlib import Path
 import os
+import argparse as _argparse
+import dataclasses
+
+# ====== PATCH: 兼容旧版 argparse 不支持 'deprecated' ======
+_original_add_argument = _argparse._ArgumentGroup.add_argument
+
+def _patched_add_argument(self, *args, **kwargs):
+    kwargs.pop('deprecated', None)
+    return _original_add_argument(self, *args, **kwargs)
+
+_argparse._ArgumentGroup.add_argument = _patched_add_argument
+# =========================================================
 
 sys.path.append(str(Path(__file__).resolve().parent.parent.parent))
 import argparse
-import dataclasses
 import inspect
 import logging
 import time
@@ -26,14 +37,16 @@ if __name__ == "__main__":
     parser = sampling_add_cli_args(parser)
     args = parser.parse_args()
 
-    engine_args = [attr.name for attr in dataclasses.fields(EngineArgs)]
+    engine_args = EngineArgs.from_cli_args(args)
+    engine_params = dataclasses.asdict(engine_args)
+
     sampling_args = [
         param.name
         for param in list(
             inspect.signature(SamplingParams).parameters.values()
         )
     ]
-    engine_params = {attr: getattr(args, attr) for attr in engine_args}
+
     sampling_params = {
         attr: getattr(args, attr) for attr in sampling_args if args.__contains__(attr)
     }
diff --git a/models/nlp/llm/stablelm/vllm/offline_inference.py b/models/nlp/llm/stablelm/vllm/offline_inference.py
index ea0a5699cc1f705db6db3cbe4853aa156b7789aa..1bc420bba9770865780fb7852d3583beee76f460 100644
--- a/models/nlp/llm/stablelm/vllm/offline_inference.py
+++ b/models/nlp/llm/stablelm/vllm/offline_inference.py
@@ -1,10 +1,21 @@
 import sys
 from pathlib import Path
 import os
+import argparse as _argparse
+import dataclasses
+
+# ====== PATCH: 兼容旧版 argparse 不支持 'deprecated' ======
+_original_add_argument = _argparse._ArgumentGroup.add_argument
+
+def _patched_add_argument(self, *args, **kwargs):
+    kwargs.pop('deprecated', None)
+    return _original_add_argument(self, *args, **kwargs)
+
+_argparse._ArgumentGroup.add_argument = _patched_add_argument
+# =========================================================
 
 sys.path.append(str(Path(__file__).resolve().parent.parent.parent))
 import argparse
-import dataclasses
 import inspect
 import logging
 import time
@@ -26,14 +37,16 @@ if __name__ == "__main__":
     parser = sampling_add_cli_args(parser)
     args = parser.parse_args()
 
-    engine_args = [attr.name for attr in dataclasses.fields(EngineArgs)]
+    engine_args = EngineArgs.from_cli_args(args)
+    engine_params = dataclasses.asdict(engine_args)
+
     sampling_args = [
         param.name
         for param in list(
             inspect.signature(SamplingParams).parameters.values()
         )
     ]
-    engine_params = {attr: getattr(args, attr) for attr in engine_args}
+
     sampling_params = {
         attr: getattr(args, attr) for attr in sampling_args if args.__contains__(attr)
     }
diff --git a/models/nlp/plm/bert_base_squad/igie/inference.py b/models/nlp/plm/bert_base_squad/igie/inference.py
index 3aa251bb420a777d4920343803cd1ff8a7479f93..7b0cee94200c4e2ffce0e6a3634682b009f1ccde 100644
--- a/models/nlp/plm/bert_base_squad/igie/inference.py
+++ b/models/nlp/plm/bert_base_squad/igie/inference.py
@@ -93,7 +93,7 @@ def load_and_cache_examples(dataset_dir,
     cached_features_file = os.path.join(dataset_dir, "cached_{}_{}_{}".format("squad_v1.1" if use_v1 else "squad_v2.0", "dev" if evaluate else "train", checkpoint.split("/")[-1]))
 
     if os.path.exists(cached_features_file):
-        features_and_dataset = torch.load(cached_features_file)
+        features_and_dataset = torch.load(cached_features_file, weights_only=False)
         features, dataset, examples = (features_and_dataset["features"], features_and_dataset["dataset"], features_and_dataset["examples"])
     else:
         assert os.path.exists(dataset_dir)
diff --git a/models/nlp/plm/bert_large_squad/igie/inference.py b/models/nlp/plm/bert_large_squad/igie/inference.py
index 71ab1398122f61d6632a2c4c498ffad1b1d72c65..71c7f9e011c92ba9353f01bed1960fbc932b2c6b 100644
--- a/models/nlp/plm/bert_large_squad/igie/inference.py
+++ b/models/nlp/plm/bert_large_squad/igie/inference.py
@@ -100,7 +100,7 @@ def load_and_cache_examples(dataset_dir,
     cached_features_file = os.path.join(dataset_dir, "cached_{}_{}_{}".format("squad_v1.1" if use_v1 else "squad_v2.0", "dev" if evaluate else "train", checkpoint.split("/")[-1]))
 
     if os.path.exists(cached_features_file):
-        features_and_dataset = torch.load(cached_features_file)
+        features_and_dataset = torch.load(cached_features_file, weights_only=False)
         features, dataset, examples = (features_and_dataset["features"], features_and_dataset["dataset"], features_and_dataset["examples"])
     else:
         assert os.path.exists(dataset_dir)
diff --git a/models/nlp/plm/deberta/ixrt/ci/prepare.sh b/models/nlp/plm/deberta/ixrt/ci/prepare.sh
index 23ecd2b5bc02b6076db66490f28ab18efe07b86f..e79144bda807372ae4f19b6c40646d9ff5100658 100644
--- a/models/nlp/plm/deberta/ixrt/ci/prepare.sh
+++ b/models/nlp/plm/deberta/ixrt/ci/prepare.sh
@@ -26,6 +26,7 @@ cp -r iluvatar-corex-ixrt/tools/optimizer/ ../../../../../toolbox/ByteMLPerf/byt
 
 python3 torch2onnx.py --model_path /root/data/checkpoints/open_deberta/deberta-base-squad.pt --output_path deberta-torch-fp32.onnx
 onnxsim deberta-torch-fp32.onnx deberta-torch-fp32-sim.onnx
+pip3 install onnx==1.18.0
 python3 remove_clip_and_cast.py
 
 mkdir -p data/open_deberta
diff --git a/models/speech/asr/whisper/vllm/README.md b/models/speech/asr/whisper/vllm/README.md
index b20871521bd91b49f5d391c623214dbe039cb91e..de14e9fc03fa1b39487ff80bd2896c47f309b20d 100644
--- a/models/speech/asr/whisper/vllm/README.md
+++ b/models/speech/asr/whisper/vllm/README.md
@@ -12,6 +12,8 @@ Whisper large-v3-turbo is a finetuned version of a pruned Whisper large-v3. In o
 | :----: | :----: | :----: |
 | MR-V100 | 4.3.0     |  25.09  |
 
+**This model is compatible with IXUCA SDK up to version 4.3.0.**
+
 ## Model Preparation
 
 ### Prepare Resources
diff --git a/models/speech/speech_synthesis/cosyvoice/ixrt/ci/prepare.sh b/models/speech/speech_synthesis/cosyvoice/ixrt/ci/prepare.sh
index 12ed425dadd7a55664401c185154e0307c59b3e2..9aab528acc8bf52ddcba6d0f8c2a1709598846fe 100644
--- a/models/speech/speech_synthesis/cosyvoice/ixrt/ci/prepare.sh
+++ b/models/speech/speech_synthesis/cosyvoice/ixrt/ci/prepare.sh
@@ -15,6 +15,7 @@
 # limitations under the License.
 
 set -x
+apt update
 apt-get install sox libsox-dev
 pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/ 
 pip install onnxsim
@@ -31,6 +32,4 @@ cp ../inference.py ./
 rm -rf pretrained_models
 mkdir -p pretrained_models
 ln -s /root/data/checkpoints/CosyVoice2-0.5B pretrained_models/
-# remove old engine
-rm ./pretrained_models/CosyVoice2-0.5B/flow.decoder.estimator.fp16.mygpu.plan
 onnxsim ./pretrained_models/CosyVoice2-0.5B/flow.decoder.estimator.fp32.onnx ./pretrained_models/CosyVoice2-0.5B/flow.decoder.estimator.fp32_sim.onnx
\ No newline at end of file
diff --git a/tests/model_info.json b/tests/model_info.json
index 1d90c8025797246058ad7ed780cc2fda6616300c..5fa94159b24ceded3fe8dcc876e4313390de496b 100644
--- a/tests/model_info.json
+++ b/tests/model_info.json
@@ -7,7 +7,7 @@
             "release_version": "24.03",
             "release_sdk": "4.0.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "audio/speech_recognition",
             "toolbox": "",
@@ -40,7 +40,7 @@
             "release_version": "24.09",
             "release_sdk": "4.1.2",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "audio/speech_recognition",
             "toolbox": "",
@@ -106,7 +106,7 @@
             "release_version": "24.03",
             "release_sdk": "4.0.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -140,7 +140,7 @@
             "release_version": "24.03",
             "release_sdk": "4.0.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -174,7 +174,7 @@
             "release_version": "24.03",
             "release_sdk": "4.0.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -207,7 +207,7 @@
             "release_version": "24.03",
             "release_sdk": "4.0.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -240,7 +240,7 @@
             "release_version": "24.12",
             "release_sdk": "4.1.2",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -273,7 +273,7 @@
             "release_version": "25.03",
             "release_sdk": "CoreX 4.2.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -306,7 +306,7 @@
             "release_version": "25.03",
             "release_sdk": "CoreX 4.2.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -339,7 +339,7 @@
             "release_version": "24.09",
             "release_sdk": "4.1.2",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -372,7 +372,7 @@
             "release_version": "24.12",
             "release_sdk": "4.1.2",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -405,7 +405,7 @@
             "release_version": "25.03",
             "release_sdk": "CoreX 4.2.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -438,7 +438,7 @@
             "release_version": "24.12",
             "release_sdk": "4.1.2",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -472,7 +472,7 @@
             "release_version": "25.03",
             "release_sdk": "4.2.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -505,7 +505,7 @@
             "release_version": "24.03",
             "release_sdk": "4.0.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -539,7 +539,7 @@
             "release_version": "24.09",
             "release_sdk": "4.1.2",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -572,7 +572,7 @@
             "release_version": "25.03",
             "release_sdk": "4.2.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -605,7 +605,7 @@
             "release_version": "24.03",
             "release_sdk": "4.0.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -639,7 +639,7 @@
             "release_version": "24.06",
             "release_sdk": "4.0.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -672,7 +672,7 @@
             "release_version": "24.06",
             "release_sdk": "4.0.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -705,7 +705,7 @@
             "release_version": "25.03",
             "release_sdk": "CoreX 4.2.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -738,7 +738,7 @@
             "release_version": "24.09",
             "release_sdk": "4.1.2",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -771,7 +771,7 @@
             "release_version": "25.03",
             "release_sdk": "CoreX 4.2.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -804,7 +804,7 @@
             "release_version": "24.12",
             "release_sdk": "4.1.2",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -837,7 +837,7 @@
             "release_version": "25.03",
             "release_sdk": "4.2.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
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             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -7552,7 +7552,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -7585,7 +7585,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -7618,7 +7618,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -7651,7 +7651,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -7684,7 +7684,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -7717,7 +7717,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -7750,7 +7750,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -7783,7 +7783,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -7816,7 +7816,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -7849,7 +7849,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -7882,7 +7882,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -7915,7 +7915,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -7948,7 +7948,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -7981,7 +7981,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -8015,7 +8015,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -8048,7 +8048,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "multimodal/vision_language_model",
             "toolbox": "",
@@ -8081,7 +8081,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "nlp/llm",
             "toolbox": "",
@@ -8114,7 +8114,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "nlp/llm",
             "toolbox": "",
@@ -8147,7 +8147,7 @@
             "release_version": "25.09",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "speech/speech_synthesis",
             "toolbox": "",
@@ -8180,7 +8180,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -8213,7 +8213,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -8246,7 +8246,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -8279,7 +8279,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -8313,7 +8313,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -8346,7 +8346,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -8379,7 +8379,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -8412,7 +8412,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/multi_object_tracking",
             "toolbox": "",
@@ -8445,7 +8445,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/multi_object_tracking",
             "toolbox": "",
@@ -8478,7 +8478,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "speech/asr",
             "toolbox": "",
@@ -8511,7 +8511,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "multimodal/vision_language_model",
             "toolbox": "",
@@ -8544,7 +8544,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "multimodal/vision_language_model",
             "toolbox": "",
@@ -8577,7 +8577,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "multimodal/vision_language_model",
             "toolbox": "",
@@ -8610,7 +8610,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "multimodal/vision_language_model",
             "toolbox": "",
@@ -8643,7 +8643,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "nlp/llm",
             "toolbox": "",
@@ -8676,7 +8676,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "multimodal/vision_language_model",
             "toolbox": "",
@@ -8709,7 +8709,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "multimodal/vision_language_model",
             "toolbox": "",
@@ -8742,7 +8742,7 @@
             "release_version": "25.12",
             "release_sdk": "CoreX 4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "multimodal/diffusion_model",
             "toolbox": "",
@@ -8775,7 +8775,7 @@
             "release_version": "25.12",
             "release_sdk": "CoreX 4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "nlp/plm",
             "toolbox": "",
@@ -8808,7 +8808,7 @@
             "release_version": "25.12",
             "release_sdk": "CoreX 4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "nlp/plm",
             "toolbox": "",
@@ -8841,7 +8841,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -8874,7 +8874,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -8908,7 +8908,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/classification",
             "toolbox": "",
@@ -8941,7 +8941,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "nlp/plm",
             "toolbox": "",
@@ -8974,7 +8974,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "nlp/plm",
             "toolbox": "",
@@ -9008,7 +9008,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "MR-V100",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -9041,7 +9041,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "MR-V100",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -9074,7 +9074,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -9107,7 +9107,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -9140,7 +9140,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -9173,7 +9173,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -9206,7 +9206,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
@@ -9239,7 +9239,7 @@
             "release_version": "25.12",
             "release_sdk": "4.3.0",
             "release_gpgpu": "MR-V100",
-            "latest_sdk": "4.3.0",
+            "latest_sdk": "4.4.0",
             "latest_gpgpu": "",
             "category": "cv/object_detection",
             "toolbox": "",
diff --git a/tests/run_igie.py b/tests/run_igie.py
index cbdabdff57a598fef4ba7165f0143207e890beeb..8716fbbb85efa4b66dc94cb8bce1ea01c55700e3 100644
--- a/tests/run_igie.py
+++ b/tests/run_igie.py
@@ -162,13 +162,14 @@ def run_clf_testcase(model, batch_size, whl_url):
     d_url = model["download_url"]
     checkpoint_n = d_url.split("/")[-1]
     dataset_n = model["datasets"].split("/")[-1]
+    mmcv_whl = whl_url.replace("apps", "add-on")
     prepare_script = f"""
     cd ../{model['model_path']}
     ln -s /mnt/deepspark/data/checkpoints/{checkpoint_n} ./
     """
     if model["category"] == "cv/semantic_segmentation":
         prepare_script += f"""
-        pip install {whl_url}`curl -s {whl_url} | grep -o 'mmcv-[^"]*\.whl' | head -n1`
+        pip install {mmcv_whl}`curl -s {mmcv_whl} | grep -o 'mmcv-[^"]*\.whl' | head -n1`
         """
     if model_name in ["resnet50_sample", "vgg16_sample"]:
         prepare_script += f"""
@@ -276,6 +277,7 @@ def run_detec_testcase(model, batch_size, whl_url):
     d_url = model["download_url"]
     checkpoint_n = d_url.split("/")[-1]
     dataset_n = model["datasets"].split("/")[-1]
+    mmcv_whl = whl_url.replace("apps", "add-on")
     prepare_script = f"""
     cd ../{model['model_path']}
     ln -s /mnt/deepspark/data/checkpoints/{checkpoint_n} ./
@@ -283,7 +285,7 @@ def run_detec_testcase(model, batch_size, whl_url):
     """
 
     prepare_script += f"""
-    pip install {whl_url}`curl -s {whl_url} | grep -o 'mmcv-[^"]*\.whl' | head -n1`
+    pip install {mmcv_whl}`curl -s {mmcv_whl} | grep -o 'mmcv-[^"]*\.whl' | head -n1`
     """
 
     if platform.machine() == "aarch64":
diff --git a/tests/run_ixrt.py b/tests/run_ixrt.py
index 0a42b8d46b642e8b5ec697d09fc97b1f00b0297a..dfe12410b77ae19bc979dd4b1838fe280cdc6ae8 100644
--- a/tests/run_ixrt.py
+++ b/tests/run_ixrt.py
@@ -289,11 +289,12 @@ def run_detec_testcase(model, batch_size, whl_url):
     d_url = model["download_url"]
     checkpoint_n = d_url.split("/")[-1]
     dataset_n = model["datasets"].split("/")[-1]
+    mmcv_whl = whl_url.replace("apps", "add-on")
     prepare_script = f"""
     cd ../{model['model_path']}
     ln -s /root/data/checkpoints/{checkpoint_n} ./
     ln -s /root/data/datasets/{dataset_n} ./
-    pip install {whl_url}`curl -s {whl_url} | grep -o 'mmcv-[^"]*\.whl' | head -n1`
+    pip install {mmcv_whl}`curl -s {mmcv_whl} | grep -o 'mmcv-[^"]*\.whl' | head -n1`
     bash ci/prepare.sh
     """
 
@@ -784,11 +785,12 @@ def run_instance_segmentation_testcase(model, whl_url):
     d_url = model["download_url"]
     checkpoint_n = d_url.split("/")[-1]
     dataset_n = model["datasets"].split("/")[-1]
+    mmcv_whl = whl_url.replace("apps", "add-on")
     prepare_script = f"""
     cd ../{model['model_path']}
     ln -s /root/data/checkpoints/{checkpoint_n} ./
     ln -s /root/data/datasets/{dataset_n} ./
-    pip install {whl_url}`curl -s {whl_url} | grep -o 'mmcv-[^"]*\.whl' | head -n1`
+    pip install {mmcv_whl}`curl -s {mmcv_whl} | grep -o 'mmcv-[^"]*\.whl' | head -n1`
     bash ci/prepare.sh
     ls -l | grep onnx
     """
diff --git a/toolbox/ByteMLPerf/byte_infer_perf/general_perf/backends/ILUVATAR/requirements.txt b/toolbox/ByteMLPerf/byte_infer_perf/general_perf/backends/ILUVATAR/requirements.txt
index 396998600124e124f2fc8f78483d68a27ca7e4ed..6c1109eda4a8abbc545f64d3c1b27d13a7091142 100644
--- a/toolbox/ByteMLPerf/byte_infer_perf/general_perf/backends/ILUVATAR/requirements.txt
+++ b/toolbox/ByteMLPerf/byte_infer_perf/general_perf/backends/ILUVATAR/requirements.txt
@@ -1,4 +1,4 @@
-onnx==1.15.0
+onnx
 onnxsim==0.4.36
 tf2onnx==1.16.1
 onnxruntime