diff --git a/benchmarks/diffusion/main.py b/benchmarks/diffusion/main.py
old mode 100644
new mode 100755
index 2b4fe9bfd..09513f606
--- a/benchmarks/diffusion/main.py
+++ b/benchmarks/diffusion/main.py
@@ -1,3 +1,5 @@
+#!/usr/bin/env python
+
 from dataclasses import dataclass
 
 from accelerate import Accelerator
diff --git a/config/base.yaml b/config/base.yaml
index 438485de9..11d50c018 100644
--- a/config/base.yaml
+++ b/config/base.yaml
@@ -394,9 +394,8 @@ _diffusion:
   inherits: _defaults
   definition: ../benchmarks/diffusion
   install_group: torch
-  plan:
-    method: njobs
-    n: 1
+  tags:
+    - diffusion
   
   argv:
     --num_epochs: 5
@@ -408,10 +407,13 @@ diffusion-single:
   inherits: _diffusion
   num_machines: 1
   plan:
-    method: njobs
+    method: per_gpu
 
 diffusion-gpus:
   inherits: _diffusion
+  plan:
+    method: njobs
+    n: 1
   num_machines: 1
 
 diffusion-nodes:
@@ -426,6 +428,8 @@ _lightning:
   inherits: _defaults
   definition: ../benchmarks/lightning
   install_group: torch
+  tags:
+    - lightning
   argv:
     --epochs: 10
     --num-workers: "auto({n_worker}, 8)"
@@ -452,6 +456,9 @@ _dinov2:
   definition: ../benchmarks/dinov2
   install_group: torch
   num_machines: 1
+  tags:
+    - image
+    - transformer
   plan:
     method: njobs
     n: 1
@@ -505,7 +512,9 @@ _llm:
   voir:
     options:
       stop: 30
-  
+  tags:
+    - nlp
+    - llm
   max_duration: 1200
   num_machines: 1
   inherits: _defaults
@@ -517,7 +526,6 @@ llm-lora-single:
   inherits: _llm
   plan:
     method: per_gpu
-
   argv:
     "{milabench_code}/recipes/lora_finetune_single_device.py": true
     --config: "{milabench_code}/configs/llama3_8B_lora_single_device.yaml"
@@ -664,6 +672,10 @@ ppo:
 
 _geo_gnn:
   inherits: _defaults
+  tags:
+    - graph
+  # FIXME: torch cluster is laging behind pytorch
+  # we are forced to use torch==2.3 instead of torch==2.4
   install_group: gnn
   group: geo_gnn
   definition: ../benchmarks/geo_gnn
@@ -682,6 +694,8 @@ recursiongfn:
   definition: ../benchmarks/recursiongfn
   install_group: gnn
   group: recursiongfn_gnn
+  tags:
+    - graph
   plan:
     method: per_gpu
 
@@ -698,7 +712,8 @@ torchatari:
   install_group: torch
   plan:
     method: per_gpu
-
+  tags:
+    - rl
   argv:
     --num-minibatches: 16
     --update-epochs: 4
diff --git a/milabench/_version.py b/milabench/_version.py
index 70125045a..0202d13c4 100644
--- a/milabench/_version.py
+++ b/milabench/_version.py
@@ -3,3 +3,4 @@
 __tag__ = "v0.1.0-28-g8069946"
 __commit__ = "8069946d331fb92090057d7eedd598515249521d"
 __date__ = "2024-08-01 12:39:13 -0400"
+
diff --git a/milabench/scripts/vcs.py b/milabench/scripts/vcs.py
index 0f895f886..54bc7638d 100644
--- a/milabench/scripts/vcs.py
+++ b/milabench/scripts/vcs.py
@@ -26,10 +26,16 @@ def retrieve_git_versions(tag="<tag>", commit="<commit>", date="<date>"):
     }
 
 
+def version_file():
+    return os.path.join(ROOT, "milabench", "_version.py")
+
 def read_previous():
     info = ["<tag>", "<commit>", "<date>"]
-
-    with open(os.path.join(ROOT, "milabench", "_version.py"), "r") as file:
+    
+    if not os.path.exists(version_file()):
+        return info
+    
+    with open(version_file(), "r") as file:
         for line in file.readlines():
             if "tag" in line:
                 _, v = line.split("=")
@@ -49,7 +55,7 @@ def read_previous():
 def update_version_file():
     version_info = retrieve_git_versions(*read_previous())
 
-    with open(os.path.join(ROOT, "milabench", "_version.py"), "w") as file:
+    with open(version_file(), "w") as file:
         file.write('"""')
         file.write("This file is generated, do not modify")
         file.write('"""\n\n')