diff --git a/python/sglang/srt/models/qwen2_eagle.py b/python/sglang/srt/models/qwen2_eagle.py
index 793d91560..4b4c0ec41 100644
--- a/python/sglang/srt/models/qwen2_eagle.py
+++ b/python/sglang/srt/models/qwen2_eagle.py
@@ -24,13 +24,14 @@ from typing import Iterable, Optional, Tuple
 import torch
 from torch import nn
 
+from sglang.srt.distributed import get_pp_group
 from sglang.srt.layers.logits_processor import LogitsProcessor
 from sglang.srt.layers.quantization.base_config import QuantizationConfig
 from sglang.srt.layers.vocab_parallel_embedding import (
     ParallelLMHead,
     VocabParallelEmbedding,
 )
-from sglang.srt.model_executor.forward_batch_info import ForwardBatch
+from sglang.srt.model_executor.forward_batch_info import ForwardBatch, PPProxyTensors
 from sglang.srt.models.qwen2 import Qwen2DecoderLayer, Qwen2ForCausalLM
 
 Qwen2Config = None
@@ -87,6 +88,7 @@ class Qwen2Model(nn.Module):
         positions: torch.Tensor,
         forward_batch: ForwardBatch,
         input_embeds: torch.Tensor = None,
+        pp_proxy_tensors: Optional[PPProxyTensors] = None,
     ) -> torch.Tensor:
         if input_embeds is None:
             hidden_states = self.embed_tokens(input_ids)
@@ -119,6 +121,7 @@ class Qwen2ForCausalLMEagle(Qwen2ForCausalLM):
         nn.Module.__init__(self)
         self.config = config
         self.quant_config = quant_config
+        self.pp_group = get_pp_group()
         self.model = Qwen2Model(
             config, quant_config=quant_config, prefix=add_prefix("model", prefix)
         )