diff --git a/pyproject.toml b/pyproject.toml
index a47d00d2..7b135a42 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "zetascale"
-version = "1.3.3"
+version = "1.3.4"
 description = "Transformers at zeta scales"
 authors = ["Zeta Team <kye@apac.ai>"]
 license = "MIT"
diff --git a/tests/nn/modules/slerp_model_merger.py b/tests/nn/modules/slerp_model_merger.py
deleted file mode 100644
index 49da8c28..00000000
--- a/tests/nn/modules/slerp_model_merger.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import torch
-import torch.nn as nn
-from zeta.nn.modules.slerp_model_merger import SLERPModelMerger
-
-
-def test_slerp_model_merger_init():
-    model1 = nn.Linear(10, 10)
-    model2 = nn.Linear(10, 10)
-    merger = SLERPModelMerger(model1, model2, 0.5)
-    assert isinstance(merger, SLERPModelMerger)
-    assert merger.t == 0.5
-    assert merger.model1 is model1
-    assert merger.model2 is model2
-
-
-def test_slerp_model_merger_merge():
-    model1 = nn.Linear(10, 10)
-    model2 = nn.Linear(10, 10)
-    merger = SLERPModelMerger(model1, model2, 0.5)
-    merged_model = merger.merge()
-    assert isinstance(merged_model, nn.Module)
-    assert merged_model.state_dict().keys() == model1.state_dict().keys()
-
-
-def test_slerp_model_merger_slerp():
-    model1 = nn.Linear(10, 10)
-    model2 = nn.Linear(10, 10)
-    merger = SLERPModelMerger(model1, model2, 0.5)
-    w1 = torch.randn(10)
-    w2 = torch.randn(10)
-    t = 0.5
-    slerp_result = merger._slerp(w1, w2, t)
-    assert slerp_result.shape == w1.shape
-
-
-def test_slerp_model_merger_copy_model_structure():
-    model1 = nn.Linear(10, 10)
-    model2 = nn.Linear(10, 10)
-    merger = SLERPModelMerger(model1, model2, 0.5)
-    model_copy = merger._copy_model_structure(model1)
-    assert isinstance(model_copy, nn.Module)
-    assert model_copy.state_dict().keys() == model1.state_dict().keys()