--- baked-ours/v1/attention/backends/mla/sparse_swa.py	2026-09-10 20:13:20.000000000 +0200
+++ baked/v1/attention/backends/mla/sparse_swa.py	2026-09-11 10:13:47.000000000 +0200
@@ -121,6 +121,9 @@
             alignment=576 if uses_fp8_ds_mla_layout else 512,
             model_version="deepseek_v4",
             kv_quant_mode=get_kv_quant_mode(self.cache_config.cache_dtype),
+            # DCP: the 128-token window is tiny; every rank keeps all of it
+            # (no sharding), so SWA needs no cross-rank combine.
+            dcp_replicated=True,
         )
 
     def forward(self): ...
@@ -411,6 +414,9 @@
     reorder_batch_threshold: int | None = None
     _cudagraph_support: ClassVar[AttentionCGSupport] = AttentionCGSupport.UNIFORM_BATCH
     supports_draft_decode_metadata_update = True
+    # DSpark's non-causal multi-token decode only touches the replicated SWA
+    # caches (no cross-rank combine), so it is supported under DCP.
+    supports_non_causal_multi_token_dcp: ClassVar[bool] = True
 
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)