diff --git a/studio/backend/tests/test_llama_cpp_context_fit.py b/studio/backend/tests/test_llama_cpp_context_fit.py
index ed82d4fa96..e260e84f75 100644
--- a/studio/backend/tests/test_llama_cpp_context_fit.py
+++ b/studio/backend/tests/test_llama_cpp_context_fit.py
@@ -652,7 +652,5 @@ class TestClassifyGpuOffload:
         assert inst._classify_gpu_offload(True, [(0, 22805)]) is False
 
     def test_hip_model_buffer_is_gpu(self):
-        inst = self._backend(
-            ["load_tensors:   HIP0 model buffer size = 21000.0 MiB"]
-        )
+        inst = self._backend(["load_tensors:   HIP0 model buffer size = 21000.0 MiB"])
         assert inst._classify_gpu_offload(True, [(0, 22805)]) is True
diff --git a/studio/install_llama_prebuilt.py b/studio/install_llama_prebuilt.py
index 6d2756b83e..f32e814713 100644
--- a/studio/install_llama_prebuilt.py
+++ b/studio/install_llama_prebuilt.py
@@ -5919,9 +5919,7 @@ def validate_server(
                     # the next bundle / source build instead of stopping here.
                     if _enable_gpu_layers:
                         log_handle.flush()
-                        offload = server_log_shows_gpu_offload(
-                            read_full_log(log_path)
-                        )
+                        offload = server_log_shows_gpu_offload(read_full_log(log_path))
                         if offload is False:
                             raise GpuOffloadFailure(
                                 "llama-server served a completion but loaded the "
@@ -5943,8 +5941,7 @@ def validate_server(
                             raise PrebuiltFallback(
                                 "llama-server served a completion but its startup "
                                 "log carried no GPU-offload signal; smoke-test "
-                                "result is inconclusive:\n"
-                                + read_log_excerpt(log_path)
+                                "result is inconclusive:\n" + read_log_excerpt(log_path)
                             )
                     return
         finally:
diff --git a/tests/studio/install/test_validate_server_gpu_offload.py b/tests/studio/install/test_validate_server_gpu_offload.py
index 82c7746d5e..6028b98558 100644
--- a/tests/studio/install/test_validate_server_gpu_offload.py
+++ b/tests/studio/install/test_validate_server_gpu_offload.py
@@ -534,7 +534,9 @@ def _gpu_plan(install_kind = "linux-cuda"):
         release_tag = "rel",
         attempts = [choice],
         approved_checksums = M.ApprovedReleaseChecksums(
-            repo = "unslothai/llama.cpp", release_tag = "rel", upstream_tag = "b9001",
+            repo = "unslothai/llama.cpp",
+            release_tag = "rel",
+            upstream_tag = "b9001",
             artifacts = {},
         ),
     )
@@ -551,9 +553,12 @@ def _with_server(tmp_path):
 def test_existing_cpu_kind_install_is_kept(tmp_path):
     # A non-GPU existing install is never offload-gated.
     probe = _with_server(tmp_path)
-    assert M.existing_gpu_install_offloads(
-        tmp_path, nvidia_host(), _gpu_plan("linux-cpu"), probe
-    ) is True
+    assert (
+        M.existing_gpu_install_offloads(
+            tmp_path, nvidia_host(), _gpu_plan("linux-cpu"), probe
+        )
+        is True
+    )
 
 
 def test_existing_gpu_install_cpu_only_triggers_reinstall(monkeypatch, tmp_path):
@@ -563,17 +568,23 @@ def test_existing_gpu_install_cpu_only_triggers_reinstall(monkeypatch, tmp_path)
         raise M.GpuOffloadFailure("loaded the model entirely on CPU")
 
     monkeypatch.setattr(M, "validate_server", fake_validate)
-    assert M.existing_gpu_install_offloads(
-        tmp_path, nvidia_host(), _gpu_plan("linux-cuda"), probe
-    ) is False
+    assert (
+        M.existing_gpu_install_offloads(
+            tmp_path, nvidia_host(), _gpu_plan("linux-cuda"), probe
+        )
+        is False
+    )
 
 
 def test_existing_gpu_install_offloading_is_kept(monkeypatch, tmp_path):
     probe = _with_server(tmp_path)
     monkeypatch.setattr(M, "validate_server", lambda *a, **k: None)
-    assert M.existing_gpu_install_offloads(
-        tmp_path, nvidia_host(), _gpu_plan("linux-cuda"), probe
-    ) is True
+    assert (
+        M.existing_gpu_install_offloads(
+            tmp_path, nvidia_host(), _gpu_plan("linux-cuda"), probe
+        )
+        is True
+    )
 
 
 def test_existing_gpu_install_inconclusive_is_kept(monkeypatch, tmp_path):
@@ -583,15 +594,21 @@ def test_existing_gpu_install_inconclusive_is_kept(monkeypatch, tmp_path):
         raise PrebuiltFallback("llama-server exited during startup")
 
     monkeypatch.setattr(M, "validate_server", fake_validate)
-    assert M.existing_gpu_install_offloads(
-        tmp_path, nvidia_host(), _gpu_plan("linux-cuda"), probe
-    ) is True
+    assert (
+        M.existing_gpu_install_offloads(
+            tmp_path, nvidia_host(), _gpu_plan("linux-cuda"), probe
+        )
+        is True
+    )
 
 
 def test_existing_gpu_install_no_binary_is_kept(tmp_path):
     # No llama-server present -> let the normal flow reinstall, don't crash.
     probe = tmp_path / "probe.gguf"
     probe.write_bytes(b"GGUF")
-    assert M.existing_gpu_install_offloads(
-        tmp_path, nvidia_host(), _gpu_plan("linux-cuda"), probe
-    ) is True
+    assert (
+        M.existing_gpu_install_offloads(
+            tmp_path, nvidia_host(), _gpu_plan("linux-cuda"), probe
+        )
+        is True
+    )