diff --git a/vllm_ascend/attention/utils.py b/vllm_ascend/attention/utils.py
index 519cde0c5a..efc11030d5 100644
--- a/vllm_ascend/attention/utils.py
+++ b/vllm_ascend/attention/utils.py
@@ -97,7 +97,7 @@ def split_decodes_and_prefills(
         return num_reqs, 0, num_tokens, 0
 
     first_prefill = is_prefill.int().argmax(dim=-1).item()
-    assert torch.all(query_lens[first_prefill:] >= decode_threshold)
+    assert torch.all(query_lens[first_prefill:] > decode_threshold)
     assert torch.all(query_lens[:first_prefill] <= decode_threshold)
     num_decodes = first_prefill
     num_prefills = num_reqs - num_decodes
diff --git a/vllm_ascend/spec_decode/mtp_proposer.py b/vllm_ascend/spec_decode/mtp_proposer.py
index d0a0d507fa..8b1fe0ba34 100644
--- a/vllm_ascend/spec_decode/mtp_proposer.py
+++ b/vllm_ascend/spec_decode/mtp_proposer.py
@@ -527,6 +527,14 @@ def _propose(
             input_ids = draft_token_ids_list[-1].int()
             positions += 1
 
+            if not self.torchair_graph_enabled:
+                attn_metadata_i.decode.actual_seq_lengths_q = attn_metadata_i.query_start_loc[
+                    1:batch_size + 1].tolist()
+                attn_metadata_i.decode.cos = builder.cos_cache[
+                    positions].unsqueeze(1).unsqueeze(2)
+                attn_metadata_i.decode.sin = builder.sin_cache[
+                    positions].unsqueeze(1).unsqueeze(2)
+
             # NOTE(woosuk): We should handle the case where the draft model
             # generates tokens beyond the max model length. Since it is complex
             # to remove such requests from the batch, we keep them in the batch
@@ -560,6 +568,8 @@ def _propose(
 
             if attn_metadata_i.prefill is not None:
                 attn_metadata_i.prefill.seq_lens = attn_metadata_i.seq_lens
+                attn_metadata_i.prefill.seq_lens_list = attn_metadata_i.prefill.seq_lens.tolist(
+                )
                 attn_metadata_i.prefill.context_lens = attn_metadata_i.seq_lens
                 attn_metadata_i.prefill.input_positions = self.positions[:
                                                                          num_input_tokens]
@@ -569,6 +579,8 @@ def _propose(
                     self.runner.model_config.max_model_len)
             if attn_metadata_i.decode is not None:
                 attn_metadata_i.decode.seq_lens = attn_metadata_i.seq_lens
+                attn_metadata_i.decode.seq_lens_list = attn_metadata_i.decode.seq_lens.tolist(
+                )
                 attn_metadata_i.decode.input_positions = self.positions[:
                                                                         num_input_tokens]
                 attn_metadata_i.decode.max_seq_lens += 1