diff --git a/convert_hf_to_gguf.py b/convert_hf_to_gguf.py
index a6d2810359..cc808aa0d0 100755
--- a/convert_hf_to_gguf.py
+++ b/convert_hf_to_gguf.py
@@ -5088,7 +5088,6 @@ class KimiLinearModel(TextModel):
                 merged = QwenModel.bpe(mergeable_ranks, token, max_rank=rank)
                 if len(merged) == 2:
                     merges.append(' '.join(map(QwenModel.token_bytes_to_string, merged)))
-
             # Build token list
             vocab_size = self.hparams["vocab_size"]
             special_tokens = tokenizer.special_tokens
@@ -5316,14 +5315,11 @@ class KimiLinearModel(TextModel):
         if name.endswith("kv_b_proj.weight"):
             name_kb = name.replace("kv_b_proj", "k_b_proj")
             name_vb = name.replace("kv_b_proj", "v_b_proj")
-
             n_head_kv = self.hparams["num_key_value_heads"]
             v_head_dim = self.hparams["v_head_dim"]
             qk_nope_head_dim = self.hparams["qk_nope_head_dim"]
             logger.info("Split kv_b n_head_kv %d\n" % n_head_kv)
-
             assert data_torch.shape[0] == n_head_kv * (v_head_dim + qk_nope_head_dim)
-
             kv_b = data_torch.view(n_head_kv, v_head_dim + qk_nope_head_dim, data_torch.shape[-1])
             k_b, v_b = torch.split(kv_b, [qk_nope_head_dim, v_head_dim], dim=1)
             k_b = k_b.transpose(1, 2)