diff --git a/python/sglang/srt/layers/quantization/quark/quark.py b/python/sglang/srt/layers/quantization/quark/quark.py
index ad3546aeb..4b0f673a0 100644
--- a/python/sglang/srt/layers/quantization/quark/quark.py
+++ b/python/sglang/srt/layers/quantization/quark/quark.py
@@ -71,7 +71,13 @@ class QuarkConfig(QuantizationConfig):
         return "quark"
 
     def apply_weight_name_mapper(self, hf_to_sglang_mapper):
-        self.exclude_layers = hf_to_sglang_mapper.apply_list(self.exclude_layers)
+        mapped = hf_to_sglang_mapper.apply_list(self.exclude_layers)
+        expanded = []
+        for name in mapped:
+            expanded.append(name)
+            if name.startswith("language_model."):
+                expanded.append(name.removeprefix("language_model."))
+        self.exclude_layers = list(dict.fromkeys(expanded))
 
     def get_quant_method(
         self, layer: torch.nn.Module, prefix: str
diff --git a/python/sglang/srt/models/deepseek_v2.py b/python/sglang/srt/models/deepseek_v2.py
index 5c834a595..de7b88afe 100644
--- a/python/sglang/srt/models/deepseek_v2.py
+++ b/python/sglang/srt/models/deepseek_v2.py
@@ -2369,6 +2369,12 @@ class DeepseekV2ForCausalLM(nn.Module, DeepseekV2WeightLoaderMixin):
                 "kv_a_proj_with_mqa",
             ]
 
+        # Quant configs like Quark may rely on the model to provide fused-module
+        # mappings so exclusion checks can unfuse derived names back to the
+        # checkpoint's source layer names.
+        if quant_config is not None and hasattr(quant_config, "packed_modules_mapping"):
+            quant_config.packed_modules_mapping = self.packed_modules_mapping
+
         self.pp_group = get_pp_group()
         self.config = config
         self.tp_size = get_tensor_model_parallel_world_size()
@@ -2436,7 +2442,11 @@ class DeepseekV2ForCausalLM(nn.Module, DeepseekV2WeightLoaderMixin):
             disable_reason = "DeepEP: fusion off by default (use --enforce-shared-experts-fusion to enable)."
         elif (
             self.config.architectures[0] != architecture
-            or self.config.n_routed_experts != 256
+            # Allow-list of n_routed_experts values that have been validated
+            # for shared-experts fusion under this code path. Currently:
+            #   256 -> DeepSeek-V3 / R1
+            #   384 -> Kimi-K2.5 (text_config wraps DeepseekV3ForCausalLM)
+            or self.config.n_routed_experts not in (256, 384)
             or self.config.n_shared_experts != 1
         ):
             disable_reason = "Config does not support fused shared expert(s)."