diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index 3db790b2b..98df16a69 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -778,6 +778,7 @@ class BaichuanModel(Model):
         r = weights.shape[0] // 3
         return weights[r * n_part:r * n_part + r, ...]
 
+
 @Model.register("XverseForCausalLM")
 class XverseModel(Model):
     model_arch = gguf.MODEL_ARCH.XVERSE
@@ -882,7 +883,7 @@ class XverseModel(Model):
                 data_torch = self._reverse_hf_permute(data_torch, head_count, head_count)
             if name.endswith(("k_proj.weight")):
                 data_torch = self._reverse_hf_permute(data_torch, head_count, head_count_kv)
-                
+
             data = data_torch.squeeze().numpy()
 
             # map tensor names
@@ -918,7 +919,8 @@ class XverseModel(Model):
             .swapaxes(1, 2)
             .reshape(weights.shape)
         )
-    
+
+
 @Model.register("FalconForCausalLM", "RWForCausalLM")
 class FalconModel(Model):
     model_arch = gguf.MODEL_ARCH.FALCON
diff --git a/llama.cpp b/llama.cpp
index a8f675bde..4971fa0ab 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -6522,7 +6522,6 @@ struct llm_build_context {
                 cur = llm_build_kv(ctx0, model, hparams, kv_self, gf,
                         model.layers[il].wo, NULL,
                         Kcur, Vcur, Qcur, KQ_mask, KQ_pos, n_ctx, n_tokens, kv_head, n_kv, 1.0f/sqrtf(float(n_embd_head)), cb, il);
-                cb(cur, "kqv_out", il);
             }
 
             if (il == n_layer - 1) {