[5/N] pass the whole config to model (#9983)

Signed-off-by: youkaichao <youkaichao@gmail.com>

vllm/model_executor/models/qwen2_rm.py

@@ -7,14 +7,12 @@ from typing import Iterable, List, Optional, Tuple, Union
 
 import torch
 from torch import nn
-from transformers import Qwen2Config
 
 from vllm.attention import AttentionMetadata
-from vllm.config import CacheConfig, LoRAConfig, PoolerConfig
+from vllm.config import VllmConfig
 from vllm.model_executor.layers.linear import (ColumnParallelLinear,
                                                RowParallelLinear)
 from vllm.model_executor.layers.pooler import Pooler, PoolingType
-from vllm.model_executor.layers.quantization import QuantizationConfig
 from vllm.model_executor.pooling_metadata import PoolingMetadata
 from vllm.sequence import IntermediateTensors, PoolerOutput
 
@@ -59,12 +57,15 @@ class Qwen2ForRewardModel(nn.Module, SupportsPP):
 
     def __init__(
         self,
-        config: Qwen2Config,
-        cache_config: Optional[CacheConfig] = None,
-        quant_config: Optional[QuantizationConfig] = None,
-        lora_config: Optional[LoRAConfig] = None,
-        pooler_config: Optional[PoolerConfig] = None,
+        vllm_config: VllmConfig,
+        prefix: str = "",
     ) -> None:
+        super().__init__()
+        config = vllm_config.model_config.hf_config
+        cache_config = vllm_config.cache_config
+        quant_config = vllm_config.quant_config
+        lora_config = vllm_config.lora_config
+        pooler_config = vllm_config.model_config.pooler_config
         # TODO (@robertgshaw2): see if this can be moved out
         if (cache_config.sliding_window is not None
                 and hasattr(config, "max_window_layers")):
@@ -77,8 +78,6 @@ class Qwen2ForRewardModel(nn.Module, SupportsPP):
                                  config.num_hidden_layers,
                              ))
 
-        super().__init__()
-
         self.config = config
         self.lora_config = lora_config