[6/N] pass whole config to inner model (#10205)

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

vllm/model_executor/models/phimoe.py

@@ -28,7 +28,7 @@ from transformers.configuration_utils import PretrainedConfig
 
 from vllm.attention import Attention, AttentionMetadata
 from vllm.compilation.decorators import support_torch_compile
-from vllm.config import CacheConfig, LoRAConfig, VllmConfig
+from vllm.config import CacheConfig, VllmConfig
 from vllm.distributed import get_pp_group, get_tensor_model_parallel_world_size
 from vllm.model_executor.layers.fused_moe import FusedMoE
 from vllm.model_executor.layers.linear import (QKVParallelLinear,
@@ -48,7 +48,8 @@ from vllm.sequence import IntermediateTensors
 
 from .interfaces import SupportsLoRA, SupportsPP
 from .utils import (is_pp_missing_parameter,
-                    make_empty_intermediate_tensors_factory, make_layers)
+                    make_empty_intermediate_tensors_factory, make_layers,
+                    maybe_prefix)
 
 
 class PhiMoEConfig(PretrainedConfig):
@@ -432,15 +433,14 @@ class PhiMoEDecoderLayer(nn.Module):
 @support_torch_compile
 class PhiMoEModel(nn.Module):
 
-    def __init__(
-        self,
-        config: PhiMoEConfig,
-        cache_config: Optional[CacheConfig] = None,
-        quant_config: Optional[QuantizationConfig] = None,
-        lora_config: Optional[LoRAConfig] = None,
-        prefix: str = "",
-    ) -> None:
+    def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
         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
+
         self.padding_idx = config.pad_token_id
         lora_vocab = ((lora_config.lora_extra_vocab_size *
                        (lora_config.max_loras or 1)) if lora_config else 0)
@@ -529,23 +529,15 @@ class PhiMoEForCausalLM(nn.Module, SupportsLoRA, SupportsPP):
     }
     embedding_padding_modules = ["lm_head"]
 
-    def __init__(
-        self,
-        vllm_config: VllmConfig,
-        prefix: str = "",
-    ) -> None:
+    def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
         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
         self.config = config
         self.lora_config = lora_config
 
-        self.model = PhiMoEModel(config,
-                                 cache_config,
-                                 quant_config,
-                                 lora_config=lora_config)
+        self.model = PhiMoEModel(vllm_config=vllm_config,
+                                 prefix=maybe_prefix(prefix, "model"))
         self.unpadded_vocab_size = config.vocab_size
         if lora_config:
             self.unpadded_vocab_size += lora_config.lora_extra_vocab_size