From c4dc0e94b68a3a446d2417696c9253d835dcdf84 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 9 Feb 2026 16:03:11 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 unsloth/models/llama.py  | 6 +++++-
 unsloth/models/vision.py | 6 +++++-
 2 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/unsloth/models/llama.py b/unsloth/models/llama.py
index 5e552dc8d5..89c25e7316 100644
--- a/unsloth/models/llama.py
+++ b/unsloth/models/llama.py
@@ -3073,8 +3073,12 @@ class FastLlamaModel:
                 clean_gpu_cache()
 
         import warnings as _w
+
         with _w.catch_warnings():
-            _w.filterwarnings("ignore", message=".*target_parameters.*were set but no parameter was matched.*")
+            _w.filterwarnings(
+                "ignore",
+                message = ".*target_parameters.*were set but no parameter was matched.*",
+            )
             model = _get_peft_model(model, lora_config)
         # Fix LoraConfig.auto_mapping is None
         fix_lora_auto_mapping(model)
diff --git a/unsloth/models/vision.py b/unsloth/models/vision.py
index 1466a59ab0..735c28d917 100644
--- a/unsloth/models/vision.py
+++ b/unsloth/models/vision.py
@@ -1210,8 +1210,12 @@ class FastBaseModel:
             use_gradient_checkpointing = use_gradient_checkpointing,
         )
         import warnings as _w
+
         with _w.catch_warnings():
-            _w.filterwarnings("ignore", message=".*target_parameters.*were set but no parameter was matched.*")
+            _w.filterwarnings(
+                "ignore",
+                message = ".*target_parameters.*were set but no parameter was matched.*",
+            )
             model = _get_peft_model(model, lora_config)
         # Apply QAT + LoRA if specified
         if qat_scheme is not None: