diff --git a/nodes_model_loading.py b/nodes_model_loading.py
index 63e9497..8d10280 100644
--- a/nodes_model_loading.py
+++ b/nodes_model_loading.py
@@ -959,7 +959,7 @@ class WanVideoModelLoader:
 
             "base_precision": (["fp32", "bf16", "fp16", "fp16_fast"], {"default": "bf16"}),
             "quantization": (["disabled", "fp8_e4m3fn", "fp8_e4m3fn_fast", "fp8_e4m3fn_scaled", "fp8_e4m3fn_scaled_fast", "fp8_e5m2", "fp8_e5m2_fast", "fp8_e5m2_scaled", "fp8_e5m2_scaled_fast"], {"default": "disabled", 
-                            "tooltip": "Optional quantization method, 'disabled' acts as autoselect based by weights. Scaled modes only work with matching weights, _fast modes (fp8 matmul) require CUDA compute capability >= 8.9 (NVIDIA 4000 series and up), e5m2 generally can not be torch.compiled on compute capability < 8.9 (3000 series and under)"}),
+                            "tooltip": "Optional quantization method, 'disabled' acts as autoselect based by weights. Scaled modes only work with matching weights, _fast modes (fp8 matmul) require CUDA compute capability >= 8.9 (NVIDIA 4000 series and up), e4m3fn generally can not be torch.compiled on compute capability < 8.9 (3000 series and under)"}),
             "load_device": (["main_device", "offload_device"], {"default": "offload_device", "tooltip": "Initial device to load the model to, NOT recommended with the larger models unless you have 48GB+ VRAM"}),
             },
             "optional": {