diff --git a/container-images/scripts/build_llama_and_whisper.sh b/container-images/scripts/build_llama_and_whisper.sh
index f4f60825..062d99fe 100644
--- a/container-images/scripts/build_llama_and_whisper.sh
+++ b/container-images/scripts/build_llama_and_whisper.sh
@@ -21,7 +21,7 @@ dnf_install() {
     curl --retry 8 --retry-all-errors -o \
       /etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-Official "$url"
     rpm --import /etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-Official
-    dnf install -y mesa-vulkan-drivers-23.3.3-102.el9 "${vulkan_rpms[@]}"
+    dnf install -y mesa-vulkan-drivers "${vulkan_rpms[@]}"
   elif [ "$containerfile" = "asahi" ]; then
     dnf copr enable -y @asahi/fedora-remix-branding
     dnf install -y asahi-repos
diff --git a/docs/ramalama.1.md b/docs/ramalama.1.md
index 8b11531c..6f575d92 100644
--- a/docs/ramalama.1.md
+++ b/docs/ramalama.1.md
@@ -19,7 +19,7 @@ Running in containers eliminates the need for users to configure the host system
 
 RamaLama pulls AI Models from model registries. Starting a chatbot or a rest API service from a simple single command. Models are treated similarly to how Podman and Docker treat container images.
 
-When both Podman and Docker are installed, RamaLama defaults to Podman, The `RAMALAMA_CONTAINER_ENGINE=docker` environment variable can override this behavior. When neither are installed RamaLama attempts to run the model with software on the local system.
+When both Podman and Docker are installed, RamaLama defaults to Podman, The `RAMALAMA_CONTAINER_ENGINE=docker` environment variable can override this behaviour. When neither are installed RamaLama attempts to run the model with software on the local system.
 
 Note:
 
diff --git a/ramalama/model.py b/ramalama/model.py
index d2022fb3..2780fc4c 100644
--- a/ramalama/model.py
+++ b/ramalama/model.py
@@ -21,17 +21,17 @@
 
 
 file_not_found = """\
-RamaLama requires the "%s" command to be installed on the host when running with --nocontainer.
-RamaLama is designed to run AI Models inside of containers, where "%s" is already installed.
-Either install a package containing the "%s" command or run the workload inside of a container.
-"""
+RamaLama requires the "%(cmd)s" command to be installed on the host when running with --nocontainer.
+RamaLama is designed to run AI Models inside of containers, where "%(cmd)s" is already installed.
+Either install a package containing the "%(cmd)s" command or run the workload inside of a container.
+%(error)s"""
 
 file_not_found_in_container = """\
-RamaLama requires the "%s" command to be installed inside of the container.
+RamaLama requires the "%(cmd)s" command to be installed inside of the container.
 RamaLama requires the server application be installed in the container images.
-Either install a package containing the "%s" command in the container or run
-with the default RamaLama image.
-"""
+Either install a package containing the "%(cmd)s" command in the container or run
+with the default RamaLama
+$(error)s"""
 
 
 class Model:
@@ -227,7 +227,7 @@ def exec_model_in_container(self, model_path, cmd_args, args):
             dry_run(conman_args)
             return True
 
-        exec_cmd(conman_args, debug=args.debug)
+        run_cmd(conman_args, debug=args.debug)
         return True
 
     def run(self, args):
@@ -295,8 +295,10 @@ def run(self, args):
             exec_cmd(exec_args, args.debug, debug=args.debug)
         except FileNotFoundError as e:
             if in_container():
-                raise NotImplementedError(file_not_found_in_container % (exec_args[0], str(e).strip("'")))
-            raise NotImplementedError(file_not_found % (exec_args[0], exec_args[0], exec_args[0], str(e).strip("'")))
+                raise NotImplementedError(
+                    file_not_found_in_container % {"cmd": exec_args[0], "error": str(e).strip("'")}
+                )
+            raise NotImplementedError(file_not_found % {"cmd": exec_args[0], "error": str(e).strip("'")})
 
     def serve(self, args):
         if hasattr(args, "name") and args.name:
@@ -355,8 +357,10 @@ def serve(self, args):
             exec_cmd(exec_args, debug=args.debug)
         except FileNotFoundError as e:
             if in_container():
-                raise NotImplementedError(file_not_found_in_container % (exec_args[0], str(e).strip("'")))
-            raise NotImplementedError(file_not_found % (exec_args[0], exec_args[0], exec_args[0], str(e).strip("'")))
+                raise NotImplementedError(
+                    file_not_found_in_container % {"cmd": exec_args[0], "error": str(e).strip("'")}
+                )
+            raise NotImplementedError(file_not_found % {"cmd": exec_args[0], "error": str(e).strip("'")})
 
     def quadlet(self, model, args, exec_args):
         quadlet = Quadlet(model, args, exec_args)