support for interns1-mini (#9299)

python/sglang/srt/models/interns1.py

@@ -21,6 +21,7 @@ from sglang.srt.model_executor.forward_batch_info import ForwardBatch
 from sglang.srt.model_loader.weight_utils import default_weight_loader
 from sglang.srt.models.internvl import InternVisionModel
 from sglang.srt.models.qwen2 import Qwen2ForCausalLM
+from sglang.srt.models.qwen3 import Qwen3ForCausalLM
 from sglang.srt.models.qwen3_moe import Qwen3MoeForCausalLM
 from sglang.utils import logger
 
@@ -70,6 +71,10 @@ class InternS1ForConditionalGeneration(nn.Module):
             self.language_model = Qwen3MoeForCausalLM(
                 config=config.text_config, quant_config=quant_config
             )
+        elif config.text_config.architectures[0] == "Qwen3ForCausalLM":
+            self.language_model = Qwen3ForCausalLM(
+                config=config.text_config, quant_config=quant_config
+            )
         else:
             raise NotImplementedError(
                 f"{config.text_config.architectures[0]} is not implemented."

python/sglang/srt/models/qwen3.py

@@ -327,8 +327,8 @@ class Qwen3ForCausalLM(nn.Module):
         # For EAGLE3 support
         self.capture_aux_hidden_states = False
 
-    def get_input_embeddings(self, input_ids: torch.Tensor) -> torch.Tensor:
+    def get_input_embeddings(self) -> nn.Embedding:
-        return self.model.get_input_embeddings(input_ids)
+        return self.model.get_input_embeddings()
 
     @torch.no_grad()
     def forward(