diff --git a/example_models/wavenet_a2_max.nam b/example_models/wavenet_a2_feature_test.nam
similarity index 99%
rename from example_models/wavenet_a2_max.nam
rename to example_models/wavenet_a2_feature_test.nam
index 6ee3b0f7..c1cf26dd 100644
--- a/example_models/wavenet_a2_max.nam
+++ b/example_models/wavenet_a2_feature_test.nam
@@ -1,6 +1,6 @@
 {
     "notes": [
-        "This model is meant as a 'test case' to contain all of the new features that are being considered for A2.",
+        "This model is meant as a test case containing all proposed A2 features; it is not the A2-Full architecture.",
         "It doesn't have slimmability."
     ],
     "version": "0.6.0",
@@ -2163,4 +2163,4 @@
         -0.9127054018053962
     ],
     "sample_rate": 48000
-}
\ No newline at end of file
+}
diff --git a/generate_weights_a2.py b/generate_weights_a2.py
index bf091c43..af96e239 100644
--- a/generate_weights_a2.py
+++ b/generate_weights_a2.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 """
-Generate weights for wavenet_a2_max.nam file.
+Generate weights for the wavenet_a2_feature_test.nam file.
 This script handles the full A2 architecture including:
 - FiLM (Feature-wise Linear Modulation) modules
 - head1x1 modules  
@@ -329,14 +329,14 @@ def main():
     parser.add_argument(
         "--input",
         type=Path,
-        default=Path("example_models/wavenet_a2_max.nam"),
-        help="Input .nam file with empty weights (default: example_models/wavenet_a2_max.nam)"
+        default=Path("example_models/wavenet_a2_feature_test.nam"),
+        help="Input .nam feature-test file with empty weights (default: example_models/wavenet_a2_feature_test.nam)"
     )
     parser.add_argument(
         "--output",
         type=Path,
-        default=Path("example_models/wavenet_a2_max_withweights.nam"),
-        help="Output .nam file (default: example_models/wavenet_a2_max_withweights.nam)"
+        default=Path("example_models/wavenet_a2_feature_test_withweights.nam"),
+        help="Output .nam file (default: example_models/wavenet_a2_feature_test_withweights.nam)"
     )
     parser.add_argument(
         "--seed",
diff --git a/tools/test/test_container.cpp b/tools/test/test_container.cpp
index b4dc65c8..c12cdb96 100644
--- a/tools/test/test_container.cpp
+++ b/tools/test/test_container.cpp
@@ -140,24 +140,24 @@ void process_and_verify(nam::DSP* dsp, int num_buffers, int buffer_size)
 
 void test_container_loads_from_json()
 {
-  auto j =
-    build_container_json("example_models/lstm.nam", "example_models/wavenet.nam", "example_models/wavenet_a2_max.nam");
+  auto j = build_container_json(
+    "example_models/lstm.nam", "example_models/wavenet.nam", "example_models/wavenet_a2_feature_test.nam");
   auto dsp = nam::get_dsp(j);
   assert(dsp != nullptr);
 }
 
 void test_container_processes_audio()
 {
-  auto j =
-    build_container_json("example_models/lstm.nam", "example_models/wavenet.nam", "example_models/wavenet_a2_max.nam");
+  auto j = build_container_json(
+    "example_models/lstm.nam", "example_models/wavenet.nam", "example_models/wavenet_a2_feature_test.nam");
   auto dsp = nam::get_dsp(j);
   process_and_verify(dsp.get(), 3, 64);
 }
 
 void test_container_slimmable_selects_submodel()
 {
-  auto j =
-    build_container_json("example_models/lstm.nam", "example_models/wavenet.nam", "example_models/wavenet_a2_max.nam");
+  auto j = build_container_json(
+    "example_models/lstm.nam", "example_models/wavenet.nam", "example_models/wavenet_a2_feature_test.nam");
   auto dsp = nam::get_dsp(j);
   const double sample_rate = 48000.0;
   const int buffer_size = 64;
@@ -198,8 +198,8 @@ void test_container_slimmable_selects_submodel()
 
 void test_container_boundary_values()
 {
-  auto j =
-    build_container_json("example_models/lstm.nam", "example_models/wavenet.nam", "example_models/wavenet_a2_max.nam");
+  auto j = build_container_json(
+    "example_models/lstm.nam", "example_models/wavenet.nam", "example_models/wavenet_a2_feature_test.nam");
   auto dsp = nam::get_dsp(j);
   const double sample_rate = 48000.0;
   const int buffer_size = 16;
@@ -380,8 +380,8 @@ void test_container_load_from_file()
 
 void test_container_default_is_max_size()
 {
-  auto j =
-    build_container_json("example_models/lstm.nam", "example_models/wavenet.nam", "example_models/wavenet_a2_max.nam");
+  auto j = build_container_json(
+    "example_models/lstm.nam", "example_models/wavenet.nam", "example_models/wavenet_a2_feature_test.nam");
   auto dsp = nam::get_dsp(j);
   const double sample_rate = 48000.0;
   const int buffer_size = 64;
diff --git a/tools/test/test_get_dsp.cpp b/tools/test/test_get_dsp.cpp
index de20ce84..538f70c0 100644
--- a/tools/test/test_get_dsp.cpp
+++ b/tools/test/test_get_dsp.cpp
@@ -242,7 +242,7 @@ void test_load_and_process_nam_files()
   // Paths are relative to root directory where tests run (./build/tools/run_tests)
   const std::vector<std::string> nam_files = {"example_models/wavenet.nam", "example_models/lstm.nam",
                                               "example_models/wavenet_condition_dsp.nam",
-                                              "example_models/wavenet_a2_max.nam"};
+                                              "example_models/wavenet_a2_feature_test.nam"};
 
   const int num_buffers = 3;
   const int buffer_size = 64;