diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index f332904b6..fa6d7f599 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -16,7 +16,6 @@ import numpy as np
 import torch
 from collections import OrderedDict
 
-#TYPE_CHECKING = False
 if TYPE_CHECKING:
     from torch import Tensor
 
@@ -86,9 +85,6 @@ class Model:
     def write_tensors(self):
         block_count = self.hparams.get("n_layers", self.hparams.get("num_hidden_layers", self.hparams.get("n_layer")))
         tensor_map = gguf.get_tensor_name_map(self.model_arch, block_count)
-        print ("-------------------")
-        for tt,_ in self.get_tensors():
-            print(tt)
         for name, data_torch in self.get_tensors():
             # we don't need these
             if name.endswith((".attention.masked_bias", ".attention.bias", ".attention.rotary_emb.inv_freq")):
diff --git a/gguf-py/gguf/tensor_mapping.py b/gguf-py/gguf/tensor_mapping.py
index 547a6e078..cf8d006fb 100644
--- a/gguf-py/gguf/tensor_mapping.py
+++ b/gguf-py/gguf/tensor_mapping.py
@@ -231,7 +231,6 @@ class TensorNameMap:
                     key = key.format(bid = bid)
                     self.mapping[key] = (tensor, tensor_name)
     def get_type_and_name(self, key: str, try_suffixes: Sequence[str] = ()) -> tuple[MODEL_TENSOR, str] | None:
-        print("getting ", key)
         result = self.mapping.get(key)
         if result is not None:
             return result