diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index 704a6d777..829d68368 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -24,6 +24,7 @@ import gguf
 
 from convert import HfVocab
 
+
 # check for any of the given keys in the dictionary and return the value of the first key found
 def get_key_opts(d, keys):
     for k in keys:
@@ -1070,6 +1071,7 @@ class MixtralModel(Model):
     def set_vocab(self):
         self._set_vocab_sentencepiece()
 
+
 class MiniCPMModel(Model):
     def set_gguf_parameters(self):
         block_count = self.hparams["num_hidden_layers"]
@@ -1083,9 +1085,11 @@ class MiniCPMModel(Model):
         self.gguf_writer.add_layer_norm_rms_eps(self.hparams["rms_norm_eps"])
         self.gguf_writer.add_file_type(self.ftype)
         self.gguf_writer.add_rope_dimension_count(self.hparams["hidden_size"] // self.hparams["num_attention_heads"])
+
     def set_vocab(self):
         self._set_vocab_hf()
 
+
 class QwenModel(Model):
     @staticmethod
     def token_bytes_to_string(b):
diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py
index bc552e6b3..1cfd41c0b 100644
--- a/gguf-py/gguf/constants.py
+++ b/gguf-py/gguf/constants.py
@@ -466,7 +466,7 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.FFN_DOWN,
         MODEL_TENSOR.FFN_UP,
     ],
-	MODEL_ARCH.MINICPM: [
+    MODEL_ARCH.MINICPM: [
         MODEL_TENSOR.TOKEN_EMBD,
         MODEL_TENSOR.OUTPUT_NORM,
         MODEL_TENSOR.ROPE_FREQS,