[Misc] Remove redundant config definitions (#21891)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

vllm/model_executor/models/exaone.py

@@ -30,6 +30,7 @@ from typing import Any, Optional, Union
 
 import torch
 from torch import nn
+from transformers import PretrainedConfig
 
 from vllm.attention import Attention
 from vllm.compilation.decorators import support_torch_compile
@@ -49,7 +50,6 @@ from vllm.model_executor.model_loader.weight_utils import (
     default_weight_loader, maybe_remap_kv_scale_name)
 from vllm.model_executor.sampling_metadata import SamplingMetadata
 from vllm.sequence import IntermediateTensors
-from vllm.transformers_utils.configs.exaone import ExaoneConfig
 
 from .interfaces import SupportsLoRA, SupportsPP
 from .utils import (AutoWeightsLoader, PPMissingLayer, is_pp_missing_parameter,
@@ -99,7 +99,7 @@ class ExaoneAttention(nn.Module):
 
     def __init__(
         self,
-        config: ExaoneConfig,
+        config: PretrainedConfig,
         hidden_size: int,
         num_heads: int,
         num_kv_heads: int,
@@ -194,7 +194,7 @@ class ExaoneBlockAttention(nn.Module):
 
     def __init__(
         self,
-        config: ExaoneConfig,
+        config: PretrainedConfig,
         hidden_size: int,
         num_heads: int,
         num_kv_heads: int,
@@ -236,7 +236,7 @@ class ExaoneDecoderLayer(nn.Module):
 
     def __init__(
         self,
-        config: ExaoneConfig,
+        config: PretrainedConfig,
         cache_config: Optional[CacheConfig] = None,
         quant_config: Optional[QuantizationConfig] = None,
         prefix: str = "",