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README.md

@@ -106,6 +106,7 @@ with torch.no_grad():
 model.save_pretrained(save_folder)
 
 # mxfp4
+from transformers.quantizers.quantizer_mxfp4 import Mxfp4HfQuantizer
 # model = AutoModelForCausalLM.from_pretrained(save_folder, trust_remote_code=True, torch_dtype=torch.bfloat16, quantization_config=quantization_config)
 # model.save_pretrained(save_folder, safe_serialization=True)
 ```