diff --git a/comfy/ops.py b/comfy/ops.py
index b33fde1aa..9f9041e69 100644
--- a/comfy/ops.py
+++ b/comfy/ops.py
@@ -1237,7 +1237,7 @@ def mixed_precision_ops(quant_config={}, compute_dtype=torch.bfloat16, full_prec
                         input, qdata, self.padding_idx, self.max_norm,
                         self.norm_type, self.scale_grad_by_freq, self.sparse)
                     uncast_bias_weight(self, qdata, None, offload_stream)
-                    target_dtype = out_dtype if out_dtype is not None else weight.params.orig_dtype
+                    target_dtype = out_dtype if out_dtype is not None else weight._params.orig_dtype
                     x = x.to(dtype=target_dtype)
                     if scale is not None and scale != 1.0:
                         x = x * scale.to(dtype=target_dtype)
diff --git a/comfy/text_encoders/gemma4.py b/comfy/text_encoders/gemma4.py
index 9573cd427..8905f375f 100644
--- a/comfy/text_encoders/gemma4.py
+++ b/comfy/text_encoders/gemma4.py
@@ -1073,7 +1073,6 @@ class Gemma4_Tokenizer():
         return np.maximum(np.zeros(1), np.minimum(down_slopes, up_slopes))
 
     def tokenize_with_weights(self, text, return_word_ids=False, image=None, audio=None, video=None, llama_template=None, skip_template=True, thinking=False, **kwargs):
-        self.thinking = thinking
 
         # Process audio
         audio_features = []
@@ -1131,7 +1130,7 @@ class Gemma4_Tokenizer():
                 llama_text = llama_template.format(text)
             else:
                 # Build template from modalities present
-                system = "<|turn>system\n<|think|><turn|>\n" if self.thinking else ""
+                system = "<|turn>system\n<|think|><turn|>\n" if thinking else ""
                 media = ""
                 if len(images) > 0:
                     if is_video: