Add ernie4.py for ERNIE-4.5

docs/supported_models/generative_models.md

@@ -45,6 +45,7 @@ in the GitHub search bar.
 | **SmolLM** (135M–1.7B)            | `HuggingFaceTB/SmolLM-1.7B`                      | Hugging Face’s ultra-small LLM series (135M–1.7B params) offering surprisingly strong results, enabling advanced AI on mobile/edge devices. |
 | **GLM-4** (Multilingual 9B)        | `ZhipuAI/glm-4-9b-chat`                          | Zhipu’s GLM-4 series (up to 9B parameters) – open multilingual models with support for 1M-token context and even a 5.6B multimodal variant (Phi-4V). |
 | **MiMo** (7B series)               | `XiaomiMiMo/MiMo-7B-RL`                         | Xiaomi's reasoning-optimized model series, leverages Multiple-Token Prediction for faster inference. |
+| **ERNIE-4.5** (4.5, 4.5MoE series) | `baidu/ERNIE-4.5-21B-A3B-PT`                    | Baidu’s ERNIE-4.5 series which consists of MoE with with 47B and 3B active parameters, with the largest model having 424B total parameters, as well as a 0.3B dense model. |
 | **Arcee AFM-4.5B**               | `arcee-ai/AFM-4.5B-Base`                         | Arcee's foundational model series for real world reliability and edge deployments. |
 | **Persimmon** (8B)               | `adept/persimmon-8b-chat`                         | Adept’s open 8B model with a 16K context window and fast inference; trained for broad usability and licensed under Apache 2.0. |
 | **Granite 3.0, 3.1** (IBM)               | `ibm-granite/granite-3.1-8b-instruct`                          | IBM's open dense foundation models optimized for reasoning, code, and business AI use cases. Integrated with Red Hat and watsonx systems. |

python/sglang/srt/configs/model_config.py

@@ -133,6 +133,11 @@ def __init__(
 
         if is_draft_model and self.hf_config.architectures[0] == "MiMoForCausalLM":
             self.hf_config.architectures[0] = "MiMoMTP"
+        if (
+            is_draft_model
+            and self.hf_config.architectures[0] == "Ernie4_5_MoeForCausalLM"
+        ):
+            self.hf_config.architectures[0] = "Ernie4_5_MoeForCausalLMMTP"
         # Check model type
         self.is_generation = is_generation_model(
             self.hf_config.architectures, is_embedding