diff --git a/setup.sh b/setup.sh
index fbfc1937b7..8e5ae2ac92 100755
--- a/setup.sh
+++ b/setup.sh
@@ -186,14 +186,14 @@ else
     install_python_stack
 
     # ── 6b. Pre-install transformers 5.x into .venv_t5/ ──
-    # Models like GLM-4.7-Flash need transformers>=5.1.0. Instead of pip-installing
+    # Models like GLM-4.7-Flash need transformers>=5.2.0. Instead of pip-installing
     # at runtime (slow, ~10-15s), we pre-install into a separate directory.
     # The training subprocess just prepends .venv_t5/ to sys.path — instant switch.
     echo ""
     echo "   Pre-installing transformers 5.x for newer model support..."
     VENV_T5_DIR="$SCRIPT_DIR/.venv_t5"
     mkdir -p "$VENV_T5_DIR"
-    run_quiet "pip install transformers 5.x" pip install --target "$VENV_T5_DIR" --no-deps "transformers==5.1.0"
+    run_quiet "pip install transformers 5.x" pip install --target "$VENV_T5_DIR" --no-deps "transformers==5.2.0"
     run_quiet "pip install huggingface_hub for t5" pip install --target "$VENV_T5_DIR" --no-deps "huggingface_hub==1.3.0"
     echo "✅ Transformers 5.x pre-installed to .venv_t5/"
 
diff --git a/studio/backend/core/export/worker.py b/studio/backend/core/export/worker.py
index a581813221..2b36dbeede 100644
--- a/studio/backend/core/export/worker.py
+++ b/studio/backend/core/export/worker.py
@@ -49,7 +49,7 @@ def _activate_transformers_version(model_name: str, project_root: str) -> None:
             os.makedirs(venv_t5, exist_ok=True)
             r1 = sp.run(
                 [sys.executable, "-m", "pip", "install", "--target", venv_t5,
-                 "--no-deps", "transformers==5.1.0"],
+                 "--no-deps", "transformers==5.2.0"],
                 stdout=sp.PIPE, stderr=sp.STDOUT,
             )
             r2 = sp.run(
diff --git a/studio/backend/core/inference/worker.py b/studio/backend/core/inference/worker.py
index 99ead90f9c..4495e4bd8a 100644
--- a/studio/backend/core/inference/worker.py
+++ b/studio/backend/core/inference/worker.py
@@ -51,7 +51,7 @@ def _activate_transformers_version(model_name: str, project_root: str) -> None:
             os.makedirs(venv_t5, exist_ok=True)
             r1 = sp.run(
                 [sys.executable, "-m", "pip", "install", "--target", venv_t5,
-                 "--no-deps", "transformers==5.1.0"],
+                 "--no-deps", "transformers==5.2.0"],
                 stdout=sp.PIPE, stderr=sp.STDOUT,
             )
             r2 = sp.run(
diff --git a/studio/backend/core/training/worker.py b/studio/backend/core/training/worker.py
index 1ed6b00131..321645ea2a 100644
--- a/studio/backend/core/training/worker.py
+++ b/studio/backend/core/training/worker.py
@@ -46,7 +46,7 @@ def _activate_transformers_version(model_name: str, project_root: str) -> None:
             os.makedirs(venv_t5, exist_ok=True)
             r1 = sp.run(
                 [sys.executable, "-m", "pip", "install", "--target", venv_t5,
-                 "--no-deps", "transformers==5.1.0"],
+                 "--no-deps", "transformers==5.2.0"],
                 stdout=sp.PIPE, stderr=sp.STDOUT,
             )
             r2 = sp.run(
diff --git a/studio/backend/utils/transformers_version.py b/studio/backend/utils/transformers_version.py
index eac64e6d63..8efbab46a2 100644
--- a/studio/backend/utils/transformers_version.py
+++ b/studio/backend/utils/transformers_version.py
@@ -2,7 +2,7 @@
 Automatic transformers version switching.
 
 Some newer model architectures (Ministral-3, GLM-4.7-Flash, Qwen3-30B-A3B MoE,
-tiny_qwen3_moe) require transformers>=5.1.0, while everything else needs the
+tiny_qwen3_moe) require transformers>=5.2.0, while everything else needs the
 default 4.57.x that ships with Unsloth.
 
 When loading a LoRA adapter with a custom name, we resolve the base model from
@@ -54,7 +54,7 @@ TRANSFORMERS_5_MODEL_SUBSTRINGS: tuple[str, ...] = (
 )
 
 # Versions
-TRANSFORMERS_5_VERSION = "5.1.0"
+TRANSFORMERS_5_VERSION = "5.2.0"
 TRANSFORMERS_DEFAULT_VERSION = "4.57.1"
 
 # Pre-installed directory for transformers 5.x — created by setup.sh / setup.ps1
@@ -111,7 +111,7 @@ def _resolve_base_model(model_name: str) -> str:
 
 def needs_transformers_5(model_name: str) -> bool:
     """Return True if *model_name* belongs to an architecture that requires
-    ``transformers>=5.1.0``."""
+    ``transformers>=5.2.0``."""
     lowered = model_name.lower()
     return any(sub in lowered for sub in TRANSFORMERS_5_MODEL_SUBSTRINGS)