[Model]: Add support for Aria model (#10514)

Signed-off-by: xffxff <1247714429@qq.com>
Co-authored-by: Isotr0py <2037008807@qq.com>

vllm/transformers_utils/configs/aria.py

@@ -0,0 +1,47 @@
+from transformers.models.idefics2.configuration_idefics2 import (
+    Idefics2VisionConfig)
+from transformers.models.llama.configuration_llama import LlamaConfig
+
+
+class AriaVisionConfig(Idefics2VisionConfig):
+    model_type = "aria_vision_model"
+
+
+class AriaMoELMConfig(LlamaConfig):
+    """
+    Configuration class for AriaMoE language model.
+
+    This class extends the LlamaConfig to include additional parameters specific
+    to the Mixture of Experts (MoE) architecture.
+    """
+
+    model_type = "aria_moe_lm"
+
+    def __init__(
+        self,
+        moe_intermediate_size: int = 4096,
+        moe_num_experts: int = 8,
+        moe_topk: int = 2,
+        moe_num_shared_experts: int = 2,
+        **kwargs,
+    ):
+        """
+        Initialize the AriaMoELMConfig.
+
+        Args:
+            moe_intermediate_size (int): The intermediate size for MoE layers.
+                Default is 4096.
+            moe_num_experts (int): The number of experts in the MoE layer.
+                Default is 8.
+            moe_topk (int): The number of top experts to route to for each 
+                token. Default is 2.
+            moe_num_shared_experts (int): The number of shared experts. Default
+                is 2. 
+            **kwargs: Additional keyword arguments to be passed to the parent
+                LlamaConfig.
+        """
+        super().__init__(**kwargs)
+        self.moe_intermediate_size = moe_intermediate_size
+        self.moe_num_experts = moe_num_experts
+        self.moe_topk = moe_topk
+        self.moe_num_shared_experts = moe_num_shared_experts