Update README.md

README.md

@@ -74,7 +74,7 @@ for model in model_list:
                                         "group_size": 32}}},
         op_name_dict={'/proj_out/MatMul': FP32},) # fallback last matmul in decoder to FP32
     q_model = quantization.fit(
-        os.path.join("/path/to/whisper-tiny", model), # FP32 model path
+        os.path.join("/path/to/whisper-tiny-with-past", model), # FP32 model path
         config,
         calib_dataloader=dataloader)
     q_model.save(os.path.join("/path/to/whisper-tiny-onnx-int4", model)) # INT4 model path