diff --git a/QUANTIZATION.md b/QUANTIZATION.md
index 1693e13f32e2..30082202958a 100644
--- a/QUANTIZATION.md
+++ b/QUANTIZATION.md
@@ -139,9 +139,9 @@ Example:
   "_quantization_metadata": {
     "format_version": "1.0",
     "layers": {
-      "model.layers.0.mlp.up_proj": "float8_e4m3fn",
-      "model.layers.0.mlp.down_proj": "float8_e4m3fn",
-      "model.layers.1.mlp.up_proj": "float8_e4m3fn"
+      "model.layers.0.mlp.up_proj": {"format": "float8_e4m3fn"},
+      "model.layers.0.mlp.down_proj": {"format": "float8_e4m3fn"},
+      "model.layers.1.mlp.up_proj": {"format": "float8_e4m3fn"}
     }
   }
 }
@@ -165,4 +165,4 @@ Activation quantization (e.g., for FP8 Tensor Core operations) requires `input_s
 3. **Compute scales**: Derive `input_scale` from collected statistics
 4. **Store in checkpoint**: Save `input_scale` parameters alongside weights
 
-The calibration dataset should be representative of your target use case. For diffusion models, this typically means a diverse set of prompts and generation parameters.
\ No newline at end of file
+The calibration dataset should be representative of your target use case. For diffusion models, this typically means a diverse set of prompts and generation parameters.
diff --git a/comfy/text_encoders/ernie.py b/comfy/text_encoders/ernie.py
index 8c56c1c11ae9..2c7df78fe537 100644
--- a/comfy/text_encoders/ernie.py
+++ b/comfy/text_encoders/ernie.py
@@ -3,7 +3,7 @@
 import comfy.text_encoders.llama
 
 class Ministral3_3BTokenizer(Mistral3Tokenizer):
-    def __init__(self, embedding_directory=None, embedding_size=5120, embedding_key='mistral3_24b', tokenizer_data={}):
+    def __init__(self, embedding_directory=None, embedding_size=5120, embedding_key='ministral3_3b', tokenizer_data={}):
         return super().__init__(embedding_directory=embedding_directory, embedding_size=embedding_size, embedding_key=embedding_key, tokenizer_data=tokenizer_data)
 
 class ErnieTokenizer(sd1_clip.SD1Tokenizer):