diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index d28908586..028b9780c 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -1470,9 +1470,9 @@ class DbrxModel(Model):
             # But llama.cpp moe graph works differently
             # AND the dimensions in ggml are typically in the reverse order of the pytorch dimensions
             # so (n_expert, n_ff, n_embd) in pytorch is {n_embd, n_ff, n_expert} in ggml_tensor
-            exp_tensor_names = {"ffn.experts.mlp.v1": None,       # LLM_TENSOR_FFN_GATE_EXPS ggml_tensor->ne{n_embd, n_ff,   n_expert}
+            exp_tensor_names = {"ffn.experts.mlp.w1": None,       # LLM_TENSOR_FFN_GATE_EXPS ggml_tensor->ne{n_embd, n_ff,   n_expert}
                                 "ffn.experts.mlp.w2": (0, 2, 1),  # LLM_TENSOR_FFN_DOWN_EXPS ggml_tensor->ne{n_ff,   n_embd, n_expert}
-                                "ffn.experts.mlp.w1": None}       # LLM_TENSOR_FFN_UP_EXPS   ggml_tensor->ne{n_embd, n_ff,   n_expert}
+                                "ffn.experts.mlp.v1": None}       # LLM_TENSOR_FFN_UP_EXPS   ggml_tensor->ne{n_embd, n_ff,   n_expert}
             experts = False
             for exp_tensor_name in exp_tensor_names.keys():
                 if name.find(exp_tensor_name) != -1 and name.find(".weight") == -1: