diff --git a/python/sglang/srt/model_loader/loader.py b/python/sglang/srt/model_loader/loader.py
index 0d90c49cc..87dee392d 100644
--- a/python/sglang/srt/model_loader/loader.py
+++ b/python/sglang/srt/model_loader/loader.py
@@ -199,7 +199,12 @@ def _get_quantization_config(
     remap_prefix = getattr(model_class, "remap_prefix", None)
     # TODO: we should remove this code and switch to the packed_modules_mapping declared inside the modeling files
     if model_config.quantization == "quark":
-        packed_modules_mapping.update({"gate_up_proj": ["gate_proj", "up_proj"]})
+        packed_modules_mapping.update(
+            {
+                "gate_up_proj": ["gate_proj", "up_proj"],
+                "fused_qkv_a_proj_with_mqa": ["q_a_proj", "kv_a_proj_with_mqa"],
+            }
+        )
 
     if _is_npu:
         packed_modules_mapping.update(
diff --git a/python/sglang/srt/models/kimi_k25.py b/python/sglang/srt/models/kimi_k25.py
index b45490d25..571f9fbb4 100644
--- a/python/sglang/srt/models/kimi_k25.py
+++ b/python/sglang/srt/models/kimi_k25.py
@@ -28,6 +28,7 @@ except ImportError:
 from sglang.srt.layers.attention.vision import VisionAttention
 from sglang.srt.layers.linear import ReplicatedLinear
 from sglang.srt.layers.quantization.modelslim.modelslim import ModelSlimConfig
+from sglang.srt.layers.quantization.quark.quark import QuarkConfig
 from sglang.srt.managers.schedule_batch import (
     Modality,
     MultimodalDataItem,
@@ -661,7 +662,7 @@ class KimiK25ForConditionalGeneration(nn.Module):
                 quant_config,
                 prefix=(
                     "language_model"
-                    if isinstance(quant_config, ModelSlimConfig)
+                    if isinstance(quant_config, (ModelSlimConfig, QuarkConfig))
                     else ""
                 ),
             )