Update minimax-m2

tests/models/registry.py

@@ -300,6 +300,8 @@ _TEXT_GENERATION_EXAMPLE_MODELS = {
                                                 revision="a59aa9cbc53b9fb8742ca4e9e1531b9802b6fdc3"),  # noqa: E501
     "MiniMaxM1ForCausalLM": _HfExamplesInfo(os.path.join(models_path_prefix, "MiniMaxAI/MiniMax-M1-40k"),
                                             trust_remote_code=True),
+    "MiniMaxM2ForCausalLM": _HfExamplesInfo(os.path.join(models_path_prefix, "MiniMaxAI/MiniMax-M2"),
+                                            trust_remote_code=True),
     "MistralForCausalLM": _HfExamplesInfo(os.path.join(models_path_prefix, "mistralai/Mistral-7B-Instruct-v0.1")),
     "MixtralForCausalLM": _HfExamplesInfo(os.path.join(models_path_prefix, "mistralai/Mixtral-8x7B-Instruct-v0.1"),  # noqa: E501
                                           {"tiny": os.path.join(models_path_prefix, "TitanML/tiny-mixtral")}),  # noqa: E501

vllm/reasoning/minimax_m2_reasoning_parser.py

@@ -74,7 +74,7 @@ class MiniMaxM2ReasoningParser(BaseThinkingReasoningParser):
         # No end token yet, all content is reasoning
         return DeltaMessage(reasoning=delta_text)
 
-
+@ReasoningParserManager.register_module("minimax_m2_append_think")
 class MiniMaxM2AppendThinkReasoningParser(ReasoningParser):
     """
     Reasoning parser for MiniMax M2 model.