diff --git a/comfy/sd.py b/comfy/sd.py
index 304d180aa..7a8ee3ab6 100644
--- a/comfy/sd.py
+++ b/comfy/sd.py
@@ -432,7 +432,7 @@ class CLIP:
         self.load_model(tokens)
         self.cond_stage_model.set_clip_options({"layer": None})
         self.cond_stage_model.set_clip_options({"execution_device": self.patcher.load_device})
-        return self.cond_stage_model.generate(tokens, do_sample=do_sample, max_length=max_length, temperature=temperature, top_k=top_k, top_p=top_p, min_p=min_p, repetition_penalty=repetition_penalty, presence_penalty=presence_penalty, seed=seed)
+        return self.cond_stage_model.generate(tokens, do_sample=do_sample, max_length=max_length, temperature=temperature, top_k=top_k, top_p=top_p, min_p=min_p, repetition_penalty=repetition_penalty, seed=seed, presence_penalty=presence_penalty)
 
     def decode(self, token_ids, skip_special_tokens=True):
         return self.tokenizer.decode(token_ids, skip_special_tokens=skip_special_tokens)
@@ -1250,7 +1250,7 @@ def detect_te_model(sd):
             return TEModel.QWEN25_3B
         if weight.shape[0] == 512:
             return TEModel.QWEN25_7B
-    if "model.language_model.layers.0.linear_attn.A_log" in sd:
+    if "model.language_model.layers.0.linear_attn.A_log" in sd and "model.language_model.layers.0.input_layernorm.weight" in sd:
         weight = sd['model.language_model.layers.0.input_layernorm.weight']
         if weight.shape[0] == 1024:
             return TEModel.QWEN35_08B