diff --git a/models/higgsInteractionNet/config.pbtxt b/models/higgsInteractionNet/config.pbtxt
index a6de55f..6ace8d3 100644
--- a/models/higgsInteractionNet/config.pbtxt
+++ b/models/higgsInteractionNet/config.pbtxt
@@ -1,27 +1,35 @@
 name: "higgsInteractionNet"
 platform: "onnxruntime_onnx"
-max_batch_size : 500
+max_batch_size: 500
+input [{
+  name: "input_cpf"
+  data_type: TYPE_FP32
+  dims: [30, 60]
+}, {
+  name: "input_sv"
+  data_type: TYPE_FP32
+  dims: [14, 5]
+}]
+output [{
+  name: "output1"
+  data_type: TYPE_FP32
+  dims: [2]
+  label_filename: "higgs_interactionnet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 200 ]
+  preferred_batch_size: [200]
 }
-input [
-  {
-    name: "input_cpf"
-    data_type: TYPE_FP32
-    dims: [ 30, 60 ]
-  },
-  {
-    name: "input_sv"
-    data_type: TYPE_FP32
-    dims: [ 14, 5 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "output1"
-    data_type: TYPE_FP32
-    dims: [ 2 ]
-    label_filename: "higgs_interactionnet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.onnx"
+      value: "c245c8227157b4098c1c8e2decbdd3d5"
+    }
+  }]
+}
diff --git a/models/particleNetFromMiniAODAK4CHSCentral/config.pbtxt b/models/particleNetFromMiniAODAK4CHSCentral/config.pbtxt
index 24ba730..0f6fda4 100644
--- a/models/particleNetFromMiniAODAK4CHSCentral/config.pbtxt
+++ b/models/particleNetFromMiniAODAK4CHSCentral/config.pbtxt
@@ -1,62 +1,63 @@
 name: "particleNetFromMiniAODAK4CHSCentral"
 platform: "onnxruntime_onnx"
-max_batch_size : 500
+max_batch_size: 500
+input [{
+  name: "pf_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "pf_features"
+  data_type: TYPE_FP32
+  dims: [41, -1]
+}, {
+  name: "pf_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "sv_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "sv_features"
+  data_type: TYPE_FP32
+  dims: [10, -1]
+}, {
+  name: "sv_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "lt_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "lt_features"
+  data_type: TYPE_FP32
+  dims: [19, -1]
+}, {
+  name: "lt_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}]
+output [{
+  name: "output"
+  data_type: TYPE_FP32
+  dims: [20]
+  label_filename: "particlenet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 200 ]
+  preferred_batch_size: [200]
 }
-input [
-  {
-    name: "pf_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "pf_features"
-    data_type: TYPE_FP32
-    dims: [ 41, -1 ]
-  },
-  {
-    name: "pf_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "sv_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "sv_features"
-    data_type: TYPE_FP32
-    dims: [ 10, -1 ]
-  },
-  {
-    name: "sv_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "lt_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "lt_features"
-    data_type: TYPE_FP32
-    dims: [ 19, -1 ]
-  },
-  {
-    name: "lt_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "output"
-    data_type: TYPE_FP32
-    dims: [ 20 ]
-    label_filename: "particlenet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.onnx"
+      value: "3e08eabde2e40e318d2f5f794cc288d7"
+    }
+  }]
+}
diff --git a/models/particleNetFromMiniAODAK4CHSForward/config.pbtxt b/models/particleNetFromMiniAODAK4CHSForward/config.pbtxt
index 5249f7a..864de51 100644
--- a/models/particleNetFromMiniAODAK4CHSForward/config.pbtxt
+++ b/models/particleNetFromMiniAODAK4CHSForward/config.pbtxt
@@ -1,62 +1,63 @@
 name: "particleNetFromMiniAODAK4CHSForward"
 platform: "onnxruntime_onnx"
-max_batch_size : 500
+max_batch_size: 500
+input [{
+  name: "pf_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "pf_features"
+  data_type: TYPE_FP32
+  dims: [40, -1]
+}, {
+  name: "pf_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "sv_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "sv_features"
+  data_type: TYPE_FP32
+  dims: [10, -1]
+}, {
+  name: "sv_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "lt_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "lt_features"
+  data_type: TYPE_FP32
+  dims: [19, -1]
+}, {
+  name: "lt_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}]
+output [{
+  name: "output"
+  data_type: TYPE_FP32
+  dims: [6]
+  label_filename: "particlenet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 200 ]
+  preferred_batch_size: [200]
 }
-input [
-  {
-    name: "pf_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "pf_features"
-    data_type: TYPE_FP32
-    dims: [ 40, -1 ]
-  },
-  {
-    name: "pf_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "sv_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "sv_features"
-    data_type: TYPE_FP32
-    dims: [ 10, -1 ]
-  },
-  {
-    name: "sv_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "lt_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "lt_features"
-    data_type: TYPE_FP32
-    dims: [ 19, -1 ]
-  },
-  {
-    name: "lt_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "output"
-    data_type: TYPE_FP32
-    dims: [ 6 ]
-    label_filename: "particlenet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.onnx"
+      value: "6d362c09e8aafa399edf1226cee9d946"
+    }
+  }]
+}
diff --git a/models/particleNetFromMiniAODAK4PuppiCentral/config.pbtxt b/models/particleNetFromMiniAODAK4PuppiCentral/config.pbtxt
index 4b08acf..176ad47 100644
--- a/models/particleNetFromMiniAODAK4PuppiCentral/config.pbtxt
+++ b/models/particleNetFromMiniAODAK4PuppiCentral/config.pbtxt
@@ -1,62 +1,63 @@
 name: "particleNetFromMiniAODAK4PuppiCentral"
 platform: "onnxruntime_onnx"
-max_batch_size : 500
+max_batch_size: 500
+input [{
+  name: "pf_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "pf_features"
+  data_type: TYPE_FP32
+  dims: [41, -1]
+}, {
+  name: "pf_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "sv_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "sv_features"
+  data_type: TYPE_FP32
+  dims: [10, -1]
+}, {
+  name: "sv_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "lt_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "lt_features"
+  data_type: TYPE_FP32
+  dims: [19, -1]
+}, {
+  name: "lt_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}]
+output [{
+  name: "output"
+  data_type: TYPE_FP32
+  dims: [20]
+  label_filename: "particlenet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 200 ]
+  preferred_batch_size: [200]
 }
-input [
-  {
-    name: "pf_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "pf_features"
-    data_type: TYPE_FP32
-    dims: [ 41, -1 ]
-  },
-  {
-    name: "pf_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "sv_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "sv_features"
-    data_type: TYPE_FP32
-    dims: [ 10, -1 ]
-  },
-  {
-    name: "sv_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "lt_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "lt_features"
-    data_type: TYPE_FP32
-    dims: [ 19, -1 ]
-  },
-  {
-    name: "lt_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "output"
-    data_type: TYPE_FP32
-    dims: [ 20 ]
-    label_filename: "particlenet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.onnx"
+      value: "01ff8c5a8bef9f67f3f999fae6136d10"
+    }
+  }]
+}
diff --git a/models/particleNetFromMiniAODAK4PuppiForward/config.pbtxt b/models/particleNetFromMiniAODAK4PuppiForward/config.pbtxt
index f2a8fe3..cc100a3 100644
--- a/models/particleNetFromMiniAODAK4PuppiForward/config.pbtxt
+++ b/models/particleNetFromMiniAODAK4PuppiForward/config.pbtxt
@@ -1,62 +1,63 @@
 name: "particleNetFromMiniAODAK4PuppiForward"
 platform: "onnxruntime_onnx"
-max_batch_size : 500
+max_batch_size: 500
+input [{
+  name: "pf_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "pf_features"
+  data_type: TYPE_FP32
+  dims: [40, -1]
+}, {
+  name: "pf_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "sv_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "sv_features"
+  data_type: TYPE_FP32
+  dims: [10, -1]
+}, {
+  name: "sv_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "lt_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "lt_features"
+  data_type: TYPE_FP32
+  dims: [19, -1]
+}, {
+  name: "lt_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}]
+output [{
+  name: "output"
+  data_type: TYPE_FP32
+  dims: [6]
+  label_filename: "particlenet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 200 ]
+  preferred_batch_size: [200]
 }
-input [
-  {
-    name: "pf_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "pf_features"
-    data_type: TYPE_FP32
-    dims: [ 40, -1 ]
-  },
-  {
-    name: "pf_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "sv_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "sv_features"
-    data_type: TYPE_FP32
-    dims: [ 10, -1 ]
-  },
-  {
-    name: "sv_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "lt_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "lt_features"
-    data_type: TYPE_FP32
-    dims: [ 19, -1 ]
-  },
-  {
-    name: "lt_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "output"
-    data_type: TYPE_FP32
-    dims: [ 6 ]
-    label_filename: "particlenet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.onnx"
+      value: "3aaf54a48234ceed80c0c711c0bd3142"
+    }
+  }]
+}
diff --git a/models/particleNetFromMiniAODAK8/config.pbtxt b/models/particleNetFromMiniAODAK8/config.pbtxt
index 9ad1597..da6d0d6 100644
--- a/models/particleNetFromMiniAODAK8/config.pbtxt
+++ b/models/particleNetFromMiniAODAK8/config.pbtxt
@@ -1,47 +1,51 @@
 name: "particleNetFromMiniAODAK8"
 platform: "onnxruntime_onnx"
-max_batch_size : 500
+max_batch_size: 500
+input [{
+  name: "pf_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "pf_features"
+  data_type: TYPE_FP32
+  dims: [32, -1]
+}, {
+  name: "pf_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "sv_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "sv_features"
+  data_type: TYPE_FP32
+  dims: [10, -1]
+}, {
+  name: "sv_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}]
+output [{
+  name: "output"
+  data_type: TYPE_FP32
+  dims: [11]
+  label_filename: "particlenet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 200 ]
+  preferred_batch_size: [200]
 }
-input [
-  {
-    name: "pf_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "pf_features"
-    data_type: TYPE_FP32
-    dims: [ 32, -1 ]
-  },
-  {
-    name: "pf_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "sv_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "sv_features"
-    data_type: TYPE_FP32
-    dims: [ 10, -1 ]
-  },
-  {
-    name: "sv_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "output"
-    data_type: TYPE_FP32
-    dims: [ 11 ]
-    label_filename: "particlenet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.onnx"
+      value: "6e6b3ba631494c9cb210da28ff835b4a"
+    }
+  }]
+}
diff --git a/models/particlenet/config.pbtxt b/models/particlenet/config.pbtxt
index 848fa4a..be79fcb 100644
--- a/models/particlenet/config.pbtxt
+++ b/models/particlenet/config.pbtxt
@@ -1,47 +1,51 @@
 name: "particlenet"
 platform: "onnxruntime_onnx"
-max_batch_size : 160
+max_batch_size: 160
+input [{
+  name: "pf_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "pf_features"
+  data_type: TYPE_FP32
+  dims: [25, -1]
+}, {
+  name: "pf_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "sv_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "sv_features"
+  data_type: TYPE_FP32
+  dims: [11, -1]
+}, {
+  name: "sv_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}]
+output [{
+  name: "softmax"
+  data_type: TYPE_FP32
+  dims: [20]
+  label_filename: "particlenet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 80 ]
+  preferred_batch_size: [80]
 }
-input [
-  {
-    name: "pf_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "pf_features"
-    data_type: TYPE_FP32
-    dims: [ 25, -1 ]
-  },
-  {
-    name: "pf_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "sv_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "sv_features"
-    data_type: TYPE_FP32
-    dims: [ 11, -1 ]
-  },
-  {
-    name: "sv_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "softmax"
-    data_type: TYPE_FP32
-    dims: [ 20 ]
-    label_filename: "particlenet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.onnx"
+      value: "3bff150e279b1c942ea38e946135069c"
+    }
+  }]
+}
diff --git a/models/particlenet_AK4/config.pbtxt b/models/particlenet_AK4/config.pbtxt
index ded4c0a..b111900 100644
--- a/models/particlenet_AK4/config.pbtxt
+++ b/models/particlenet_AK4/config.pbtxt
@@ -1,47 +1,51 @@
 name: "particlenet_AK4"
 platform: "onnxruntime_onnx"
-max_batch_size : 500
+max_batch_size: 500
+input [{
+  name: "pf_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "pf_features"
+  data_type: TYPE_FP32
+  dims: [20, -1]
+}, {
+  name: "pf_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "sv_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "sv_features"
+  data_type: TYPE_FP32
+  dims: [11, -1]
+}, {
+  name: "sv_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}]
+output [{
+  name: "softmax"
+  data_type: TYPE_FP32
+  dims: [8]
+  label_filename: "particlenet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 200 ]
+  preferred_batch_size: [200]
 }
-input [
-  {
-    name: "pf_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "pf_features"
-    data_type: TYPE_FP32
-    dims: [ 20, -1 ]
-  },
-  {
-    name: "pf_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "sv_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "sv_features"
-    data_type: TYPE_FP32
-    dims: [ 11, -1 ]
-  },
-  {
-    name: "sv_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "softmax"
-    data_type: TYPE_FP32
-    dims: [ 8 ]
-    label_filename: "particlenet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.onnx"
+      value: "bfca43d9c9694c2af49f1b596cfe5da0"
+    }
+  }]
+}
diff --git a/models/particlenet_AK4_PT/config.pbtxt b/models/particlenet_AK4_PT/config.pbtxt
index 5e11764..b75b111 100644
--- a/models/particlenet_AK4_PT/config.pbtxt
+++ b/models/particlenet_AK4_PT/config.pbtxt
@@ -1,47 +1,51 @@
 name: "particlenet_AK4_PT"
 platform: "pytorch_libtorch"
-max_batch_size : 500
+max_batch_size: 500
+input [{
+  name: "pf_points__0"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "pf_features__1"
+  data_type: TYPE_FP32
+  dims: [20, -1]
+}, {
+  name: "pf_mask__2"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "sv_points__3"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "sv_features__4"
+  data_type: TYPE_FP32
+  dims: [11, -1]
+}, {
+  name: "sv_mask__5"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}]
+output [{
+  name: "softmax__0"
+  data_type: TYPE_FP32
+  dims: [8]
+  label_filename: "particlenet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 200 ]
+  preferred_batch_size: [200]
 }
-input [
-  {
-    name: "pf_points__0"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "pf_features__1"
-    data_type: TYPE_FP32
-    dims: [ 20, -1 ]
-  },
-  {
-    name: "pf_mask__2"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "sv_points__3"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "sv_features__4"
-    data_type: TYPE_FP32
-    dims: [ 11, -1 ]
-  },
-  {
-    name: "sv_mask__5"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "softmax__0"
-    data_type: TYPE_FP32
-    dims: [ 8 ]
-    label_filename: "particlenet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.pt"
+      value: "bc28391a0850bb10556bcd67f3156075"
+    }
+  }]
+}
diff --git a/models/particlenet_AK8_MD-2prong/config.pbtxt b/models/particlenet_AK8_MD-2prong/config.pbtxt
index bd6d6ee..f7bf5c5 100644
--- a/models/particlenet_AK8_MD-2prong/config.pbtxt
+++ b/models/particlenet_AK8_MD-2prong/config.pbtxt
@@ -1,47 +1,51 @@
 name: "particlenet_AK8_MD-2prong"
 platform: "onnxruntime_onnx"
-max_batch_size : 160
+max_batch_size: 160
+input [{
+  name: "pf_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "pf_features"
+  data_type: TYPE_FP32
+  dims: [20, -1]
+}, {
+  name: "pf_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "sv_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "sv_features"
+  data_type: TYPE_FP32
+  dims: [11, -1]
+}, {
+  name: "sv_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}]
+output [{
+  name: "softmax"
+  data_type: TYPE_FP32
+  dims: [8]
+  label_filename: "particlenet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 128 ]
+  preferred_batch_size: [128]
 }
-input [
-  {
-    name: "pf_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "pf_features"
-    data_type: TYPE_FP32
-    dims: [ 20, -1 ]
-  },
-  {
-    name: "pf_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "sv_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "sv_features"
-    data_type: TYPE_FP32
-    dims: [ 11, -1 ]
-  },
-  {
-    name: "sv_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "softmax"
-    data_type: TYPE_FP32
-    dims: [ 8 ]
-    label_filename: "particlenet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.onnx"
+      value: "a8647c821962d5b687dfbdbdca60525e"
+    }
+  }]
+}
diff --git a/models/particlenet_AK8_MD-2prong_PT/config.pbtxt b/models/particlenet_AK8_MD-2prong_PT/config.pbtxt
index 8fd3051..67dcc4c 100644
--- a/models/particlenet_AK8_MD-2prong_PT/config.pbtxt
+++ b/models/particlenet_AK8_MD-2prong_PT/config.pbtxt
@@ -1,47 +1,51 @@
 name: "particlenet_AK8_MD-2prong_PT"
 platform: "pytorch_libtorch"
-max_batch_size : 160
+max_batch_size: 160
+input [{
+  name: "pf_points__0"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "pf_features__1"
+  data_type: TYPE_FP32
+  dims: [20, -1]
+}, {
+  name: "pf_mask__2"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "sv_points__3"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "sv_features__4"
+  data_type: TYPE_FP32
+  dims: [11, -1]
+}, {
+  name: "sv_mask__5"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}]
+output [{
+  name: "softmax__0"
+  data_type: TYPE_FP32
+  dims: [8]
+  label_filename: "particlenet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 128 ]
+  preferred_batch_size: [128]
 }
-input [
-  {
-    name: "pf_points__0"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "pf_features__1"
-    data_type: TYPE_FP32
-    dims: [ 20, -1 ]
-  },
-  {
-    name: "pf_mask__2"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "sv_points__3"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "sv_features__4"
-    data_type: TYPE_FP32
-    dims: [ 11, -1 ]
-  },
-  {
-    name: "sv_mask__5"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "softmax__0"
-    data_type: TYPE_FP32
-    dims: [ 8 ]
-    label_filename: "particlenet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.pt"
+      value: "ae893c44b098b32f6b3fa8c43e3c635a"
+    }
+  }]
+}
diff --git a/models/particlenet_AK8_MassRegression/config.pbtxt b/models/particlenet_AK8_MassRegression/config.pbtxt
index 02743fb..3fe4af8 100644
--- a/models/particlenet_AK8_MassRegression/config.pbtxt
+++ b/models/particlenet_AK8_MassRegression/config.pbtxt
@@ -1,47 +1,51 @@
 name: "particlenet_AK8_MassRegression"
 platform: "onnxruntime_onnx"
-max_batch_size : 200
+max_batch_size: 200
+input [{
+  name: "pf_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "pf_features"
+  data_type: TYPE_FP32
+  dims: [25, -1]
+}, {
+  name: "pf_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "sv_points"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "sv_features"
+  data_type: TYPE_FP32
+  dims: [11, -1]
+}, {
+  name: "sv_mask"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}]
+output [{
+  name: "output"
+  data_type: TYPE_FP32
+  dims: [1]
+  label_filename: "particlenet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 200 ]
+  preferred_batch_size: [200]
 }
-input [
-  {
-    name: "pf_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "pf_features"
-    data_type: TYPE_FP32
-    dims: [ 25, -1 ]
-  },
-  {
-    name: "pf_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "sv_points"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "sv_features"
-    data_type: TYPE_FP32
-    dims: [ 11, -1 ]
-  },
-  {
-    name: "sv_mask"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "output"
-    data_type: TYPE_FP32
-    dims: [ 1 ]
-    label_filename: "particlenet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.onnx"
+      value: "a52c6aa60dbb9d926e9b335158ad9278"
+    }
+  }]
+}
diff --git a/models/particlenet_AK8_MassRegression_PT/config.pbtxt b/models/particlenet_AK8_MassRegression_PT/config.pbtxt
index e0fa019..805ebf4 100644
--- a/models/particlenet_AK8_MassRegression_PT/config.pbtxt
+++ b/models/particlenet_AK8_MassRegression_PT/config.pbtxt
@@ -1,47 +1,51 @@
 name: "particlenet_AK8_MassRegression_PT"
 platform: "pytorch_libtorch"
-max_batch_size : 200
+max_batch_size: 200
+input [{
+  name: "pf_points__0"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "pf_features__1"
+  data_type: TYPE_FP32
+  dims: [25, -1]
+}, {
+  name: "pf_mask__2"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "sv_points__3"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "sv_features__4"
+  data_type: TYPE_FP32
+  dims: [11, -1]
+}, {
+  name: "sv_mask__5"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}]
+output [{
+  name: "output__0"
+  data_type: TYPE_FP32
+  dims: [1]
+  label_filename: "particlenet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 200 ]
+  preferred_batch_size: [200]
 }
-input [
-  {
-    name: "pf_points__0"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "pf_features__1"
-    data_type: TYPE_FP32
-    dims: [ 25, -1 ]
-  },
-  {
-    name: "pf_mask__2"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "sv_points__3"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "sv_features__4"
-    data_type: TYPE_FP32
-    dims: [ 11, -1 ]
-  },
-  {
-    name: "sv_mask__5"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "output__0"
-    data_type: TYPE_FP32
-    dims: [ 1 ]
-    label_filename: "particlenet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.pt"
+      value: "23ca7010720c682ead36c08d2d730b6a"
+    }
+  }]
+}
diff --git a/models/particlenet_PT/config.pbtxt b/models/particlenet_PT/config.pbtxt
index 0dfe6f5..59780a5 100644
--- a/models/particlenet_PT/config.pbtxt
+++ b/models/particlenet_PT/config.pbtxt
@@ -1,47 +1,51 @@
 name: "particlenet_PT"
 platform: "pytorch_libtorch"
-max_batch_size : 160
+max_batch_size: 160
+input [{
+  name: "pf_points__0"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "pf_features__1"
+  data_type: TYPE_FP32
+  dims: [25, -1]
+}, {
+  name: "pf_mask__2"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}, {
+  name: "sv_points__3"
+  data_type: TYPE_FP32
+  dims: [2, -1]
+}, {
+  name: "sv_features__4"
+  data_type: TYPE_FP32
+  dims: [11, -1]
+}, {
+  name: "sv_mask__5"
+  data_type: TYPE_FP32
+  dims: [1, -1]
+}]
+output [{
+  name: "softmax__0"
+  data_type: TYPE_FP32
+  dims: [20]
+  label_filename: "particlenet_labels.txt"
+}]
 dynamic_batching {
-   preferred_batch_size: [ 80 ]
+  preferred_batch_size: [80]
 }
-input [
-  {
-    name: "pf_points__0"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "pf_features__1"
-    data_type: TYPE_FP32
-    dims: [ 25, -1 ]
-  },
-  {
-    name: "pf_mask__2"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
-  },
-  {
-    name: "sv_points__3"
-    data_type: TYPE_FP32
-    dims: [ 2, -1 ]
-  },
-  {
-    name: "sv_features__4"
-    data_type: TYPE_FP32
-    dims: [ 11, -1 ]
-  },
-  {
-    name: "sv_mask__5"
-    data_type: TYPE_FP32
-    dims: [ 1, -1 ]
+optimization {
+  graph {
+    level: -1
   }
-]
-output [
-  {
-    name: "softmax__0"
-    data_type: TYPE_FP32
-    dims: [ 20 ]
-    label_filename: "particlenet_labels.txt"
-  }
-]
-optimization {graph : {level : -1}}
+}
+model_repository_agents {
+  agents [{
+    name: "checksum"
+    parameters {
+      key: "MD5:1/model.pt"
+      value: "a5b29f593329a6ecc67991b711ad7d07"
+    }
+  }]
+}