--- a/vllm/model.py
+++ b/vllm/model.py
@@ -770,6 +770,33 @@
         for args in weights:
             name, loaded_weight = args[:2]
             kwargs: dict = args[2] if len(args) > 2 else {}
+            # Checkpoint layout shim (NVFP4 export uses newer serialization):
+            # renames verified shape/byte-equivalent against the fp8 export.
+            for _hc_from, _hc_to in (
+                ("attn_hc.base", "hc_attn_base"),
+                ("attn_hc.fn", "hc_attn_fn"),
+                ("attn_hc.scale", "hc_attn_scale"),
+                ("ffn_hc.base", "hc_ffn_base"),
+                ("ffn_hc.fn", "hc_ffn_fn"),
+                ("ffn_hc.scale", "hc_ffn_scale"),
+                (".self_attn.forget_gate.A_log", ".self_attn.A_log"),
+                (".self_attn.forget_gate.dt_bias", ".self_attn.dt_bias"),
+                (".self_attn.forget_gate.f_a_proj.", ".self_attn.f_a_proj."),
+                (".self_attn.forget_gate.f_b_proj.", ".self_attn.f_b_proj."),
+            ):
+                if _hc_from in name:
+                    name = name.replace(_hc_from, _hc_to)
+                    break
+            # Fused linear-attn conv: split [3*C,1,4] into q/k/v convs.
+            if ".self_attn.conv1d.weight" in name:
+                _c = loaded_weight.shape[0] // 3
+                for _j, _nm in enumerate(("q_conv1d", "k_conv1d", "v_conv1d")):
+                    _sub = name.replace(".conv1d.weight", ".%s.weight" % _nm)
+                    _p = params_dict[_sub]
+                    _wl = getattr(_p, "weight_loader", default_weight_loader)
+                    _wl(_p, loaded_weight[_j * _c : (_j + 1) * _c])
+                    loaded_params.add(_sub)
+                continue
             if "rotary_emb.inv_freq" in name:
                 continue